|
Обратите внимание, что наш сайт не размещает какие-либо файлы из списка. Вы не можете скачать
эти файлы или скачать torrent-файл.
|
| 01. 01 Intro-4C4PuJANIdE.en.vtt |
994б |
| 01. 01 Intro-4C4PuJANIdE.mp4 |
2.73Мб |
| 01. 01 Intro-4C4PuJANIdE.pt-BR.vtt |
945б |
| 01. 01 Intro-4C4PuJANIdE.zh-CN.vtt |
922б |
| 01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.en.vtt |
2.17Кб |
| 01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.mp4 |
2.20Мб |
| 01. 1 SentimentRNN Intro V1-bQWUuaMc9ZI.zh-CN.vtt |
1.69Кб |
| 01. 26 Spread Part 1-zb76Z_viYLY.ar.vtt |
1.14Кб |
| 01. 26 Spread Part 1-zb76Z_viYLY.en.vtt |
898б |
| 01. 26 Spread Part 1-zb76Z_viYLY.mp4 |
1.82Мб |
| 01. 26 Spread Part 1-zb76Z_viYLY.pt-BR.vtt |
889б |
| 01. 26 Spread Part 1-zb76Z_viYLY.zh-CN.vtt |
848б |
| 01. Admissions Case Study Introduction.html |
6.89Кб |
| 01. Admissions Case Study Introduction-FGbxq1hQgtk.ar.vtt |
787б |
| 01. Admissions Case Study Introduction-FGbxq1hQgtk.en.vtt |
655б |
| 01. Admissions Case Study Introduction-FGbxq1hQgtk.mp4 |
2.09Мб |
| 01. Admissions Case Study Introduction-FGbxq1hQgtk.pt-BR.vtt |
567б |
| 01. Admissions Case Study Introduction-FGbxq1hQgtk.zh-CN.vtt |
566б |
| 01. AIT M5L4A 01 Intro V1-BS4n9rRYGtw.en.vtt |
1.28Кб |
| 01. AIT M5L4A 01 Intro V1-BS4n9rRYGtw.mp4 |
5.98Мб |
| 01. AIT M5L5 01 Introduction V2-94CP-oy5KKI.en.vtt |
1.16Кб |
| 01. AIT M5L5 01 Introduction V2-94CP-oy5KKI.mp4 |
6.00Мб |
| 01. AITND TII 01 Recap Of Term 1 V1-uhIvBfhcyLM.en.vtt |
3.12Кб |
| 01. AITND TII 01 Recap Of Term 1 V1-uhIvBfhcyLM.mp4 |
17.30Мб |
| 01. Bayes Rule.html |
9.42Кб |
| 01. Bayes Rules-CohZnkZMOxE.ar.vtt |
896б |
| 01. Bayes Rules-CohZnkZMOxE.en.vtt |
714б |
| 01. Bayes Rules-CohZnkZMOxE.es-ES.vtt |
746б |
| 01. Bayes Rules-CohZnkZMOxE.it.vtt |
767б |
| 01. Bayes Rules-CohZnkZMOxE.ja.vtt |
902б |
| 01. Bayes Rules-CohZnkZMOxE.mp4 |
3.79Мб |
| 01. Bayes Rules-CohZnkZMOxE.pt-BR.vtt |
695б |
| 01. Bayes Rules-CohZnkZMOxE.th.vtt |
1.00Кб |
| 01. Bayes Rules-CohZnkZMOxE.zh-CN.vtt |
633б |
| 01. Binomial.html |
8.51Кб |
| 01. Binomial-3koDdc9r73E.ar.vtt |
1.09Кб |
| 01. Binomial-3koDdc9r73E.en.vtt |
839б |
| 01. Binomial-3koDdc9r73E.es-ES.vtt |
885б |
| 01. Binomial-3koDdc9r73E.ja.vtt |
835б |
| 01. Binomial-3koDdc9r73E.mp4 |
4.90Мб |
| 01. Binomial-3koDdc9r73E.pt-BR.vtt |
864б |
| 01. Binomial-3koDdc9r73E.zh-CN.vtt |
785б |
| 01. Binomial-x1yamZeOMPY.ar.vtt |
493б |
| 01. Binomial-x1yamZeOMPY.en.vtt |
339б |
| 01. Binomial-x1yamZeOMPY.es-ES.vtt |
356б |
| 01. Binomial-x1yamZeOMPY.ja.vtt |
326б |
| 01. Binomial-x1yamZeOMPY.mp4 |
1.93Мб |
| 01. Binomial-x1yamZeOMPY.pt-BR.vtt |
362б |
| 01. Binomial-x1yamZeOMPY.zh-CN.vtt |
302б |
| 01. Case Studies Intro.html |
9.63Кб |
| 01. Case Study Introduction-J5uvdPxHIfs.en.vtt |
598б |
| 01. Case Study Introduction-J5uvdPxHIfs.mp4 |
2.13Мб |
| 01. Case Study Introduction-J5uvdPxHIfs.pt-BR.vtt |
735б |
| 01. Case Study Introduction-J5uvdPxHIfs.zh-CN.vtt |
532б |
| 01. Confidence Intervals Introduction-crleT4000ak.en.vtt |
1.67Кб |
| 01. Confidence Intervals Introduction-crleT4000ak.mp4 |
2.78Мб |
| 01. Confidence Intervals Introduction-crleT4000ak.pt-BR.vtt |
1.75Кб |
| 01. Confidence Intervals Introduction-crleT4000ak.zh-CN.vtt |
1.34Кб |
| 01. Designing a Trading Strategy.html |
6.75Кб |
| 01. FAQ.html |
6.10Кб |
| 01. Feature Extraction.html |
6.04Кб |
| 01. Feature Extraction-Bd6TJB8eVLQ.en.vtt |
1.10Кб |
| 01. Feature Extraction-Bd6TJB8eVLQ.mp4 |
2.26Мб |
| 01. Feature Extraction-Bd6TJB8eVLQ.zh-CN.vtt |
970б |
| 01. Get Opportunities with LinkedIn.html |
11.06Кб |
| 01. Hypothesis Testing Introduction-Qi6F2rJAmrA.en.vtt |
617б |
| 01. Hypothesis Testing Introduction-Qi6F2rJAmrA.mp4 |
2.85Мб |
| 01. Hypothesis Testing Introduction-Qi6F2rJAmrA.pt-BR.vtt |
582б |
| 01. Hypothesis Testing Introduction-Qi6F2rJAmrA.zh-CN.vtt |
532б |
| 01. Instructor.html |
9.25Кб |
| 01. Instructor.html |
6.89Кб |
| 01. Instructor.html |
5.86Кб |
| 01. Instructor.html |
6.73Кб |
| 01. Instructor.html |
9.25Кб |
| 01. Instructors.html |
7.71Кб |
| 01. Instructors.html |
7.24Кб |
| 01. Instructors Introduction-lIvm8urf4GE.ar.vtt |
1.21Кб |
| 01. Instructors Introduction-lIvm8urf4GE.en.vtt |
1.01Кб |
| 01. Instructors Introduction-lIvm8urf4GE.mp4 |
2.88Мб |
| 01. Instructors Introduction-lIvm8urf4GE.pt-BR.vtt |
953б |
| 01. Instructors Introduction-lIvm8urf4GE.zh-CN.vtt |
883б |
| 01. intro.html |
7.16Кб |
| 01. Intro.html |
6.04Кб |
| 01. Intro.html |
6.15Кб |
| 01. Intro.html |
7.38Кб |
| 01. Intro.html |
6.49Кб |
| 01. Intro.html |
6.23Кб |
| 01. Intro.html |
6.70Кб |
| 01. Intro.html |
6.45Кб |
| 01. Intro.html |
7.46Кб |
| 01. Intro.html |
6.95Кб |
| 01. Intro.html |
5.71Кб |
| 01. Intro.html |
7.47Кб |
| 01. Intro.html |
6.30Кб |
| 01. Intro.html |
6.02Кб |
| 01. Intro.html |
5.80Кб |
| 01. Intro.html |
6.60Кб |
| 01. Intro.html |
6.07Кб |
| 01. Intro.html |
5.96Кб |
| 01. Intro.html |
7.57Кб |
| 01. Intro.html |
6.85Кб |
| 01. Intro.html |
7.34Кб |
| 01. Intro Arpan-MW5MWOLj064.en.vtt |
1.23Кб |
| 01. Intro Arpan-MW5MWOLj064.mp4 |
3.44Мб |
| 01. Intro Arpan-MW5MWOLj064.zh-CN.vtt |
1.21Кб |
| 01. Introduce Instructors.html |
8.99Кб |
| 01. Introducing Arpan.html |
6.27Кб |
| 01. Introduction.html |
7.69Кб |
| 01. Introduction.html |
5.98Кб |
| 01. Introduction.html |
10.37Кб |
| 01. Introduction.html |
9.70Кб |
| 01. Introduction.html |
7.94Кб |
| 01. Introduction.html |
9.16Кб |
| 01. Introduction.html |
6.33Кб |
| 01. Introduction.html |
10.63Кб |
| 01. Introduction.html |
10.25Кб |
| 01. Introduction.html |
7.55Кб |
| 01. Introduction.html |
8.14Кб |
| 01. Introduction-4F7SC0C6tfQ.ar.vtt |
3.00Кб |
| 01. Introduction-4F7SC0C6tfQ.en.vtt |
2.35Кб |
| 01. Introduction-4F7SC0C6tfQ.mp4 |
13.27Мб |
| 01. Introduction-4F7SC0C6tfQ.pt-BR.vtt |
2.70Кб |
| 01. Introduction-4F7SC0C6tfQ.zh-CN.vtt |
2.12Кб |
| 01. Introduction-eUrvACMMJ5w.ar.vtt |
1.42Кб |
| 01. Introduction-eUrvACMMJ5w.en.vtt |
944б |
| 01. Introduction-eUrvACMMJ5w.mp4 |
5.90Мб |
| 01. Introduction-eUrvACMMJ5w.pt-BR.vtt |
1.07Кб |
| 01. Introduction-eUrvACMMJ5w.zh-CN.vtt |
862б |
| 01. Introduction-p5L4rTV1Pgk.ar.vtt |
1.74Кб |
| 01. Introduction-p5L4rTV1Pgk.en.vtt |
1.38Кб |
| 01. Introduction-p5L4rTV1Pgk.mp4 |
8.85Мб |
| 01. Introduction-p5L4rTV1Pgk.pt-BR.vtt |
1.51Кб |
| 01. Introduction-p5L4rTV1Pgk.zh-CN.vtt |
1.24Кб |
| 01. Introduction-SvdlBB-ZjcQ.ar.vtt |
1.19Кб |
| 01. Introduction-SvdlBB-ZjcQ.en.vtt |
940б |
| 01. Introduction-SvdlBB-ZjcQ.mp4 |
2.75Мб |
| 01. Introduction-SvdlBB-ZjcQ.pt-BR.vtt |
987б |
| 01. Introduction-SvdlBB-ZjcQ.zh-CN.vtt |
750б |
| 01. Introduction to Conditional Probability.html |
7.13Кб |
| 01. Introduction to Conditional Probability-Ok8948Wcbmo.ar.vtt |
2.30Кб |
| 01. Introduction to Conditional Probability-Ok8948Wcbmo.en.vtt |
1.73Кб |
| 01. Introduction to Conditional Probability-Ok8948Wcbmo.mp4 |
6.54Мб |
| 01. Introduction to Conditional Probability-Ok8948Wcbmo.pt-BR.vtt |
1.88Кб |
| 01. Introduction to Conditional Probability-Ok8948Wcbmo.zh-CN.vtt |
1.53Кб |
| 01. Introduction to Probability.html |
7.30Кб |
| 01. Introduction to Probability-HeoQccoqfTk.ar.vtt |
1.37Кб |
| 01. Introduction to Probability-HeoQccoqfTk.en.vtt |
1.06Кб |
| 01. Introduction to Probability-HeoQccoqfTk.mp4 |
4.21Мб |
| 01. Introduction to Probability-HeoQccoqfTk.pt-BR.vtt |
1.24Кб |
| 01. Introduction to Probability-HeoQccoqfTk.zh-CN.vtt |
937б |
| 01. Introduction to Project 5.html |
5.70Кб |
| 01. Intro Efficient Market hypothesis and Arbitrage opportunities.html |
11.85Кб |
| 01. Intro Module 2.html |
5.57Кб |
| 01. Intro Module 3.html |
7.92Кб |
| 01. Intro Project 2.html |
5.90Кб |
| 01. Intro Project 3.html |
5.80Кб |
| 01. Intro Term II V2-jSK9Pr7wFQo.en.vtt |
3.05Кб |
| 01. Intro Term II V2-jSK9Pr7wFQo.mp4 |
9.34Мб |
| 01. Intro to Lesson.html |
8.17Кб |
| 01. Intro to Project 1.html |
5.85Кб |
| 01. Intro to RNNs.html |
8.51Кб |
| 01. Intro to the Module.html |
6.47Кб |
| 01. Kalman Filters and Linear Algebra.html |
9.34Кб |
| 01. L1 01 HS Welcome To M7 V2-3l--nlBdfaA.en.vtt |
1.48Кб |
| 01. L1 01 HS Welcome To M7 V2-3l--nlBdfaA.mp4 |
5.28Мб |
| 01. L2 01 Intro V2-utlPzT8MEsM.en.vtt |
1.78Кб |
| 01. L2 01 Intro V2-utlPzT8MEsM.mp4 |
5.48Мб |
| 01. L3 01 Intro V1-PxLJniuGyC0.en.vtt |
1.95Кб |
| 01. L3 01 Intro V1-PxLJniuGyC0.mp4 |
6.94Мб |
| 01. L4 01 HS Intro V2-9c5d6MvguA0.en.vtt |
2.79Кб |
| 01. L4 01 HS Intro V2-9c5d6MvguA0.mp4 |
9.68Мб |
| 01. L4 01 Intro V1-CtIcmmR0YTs.en.vtt |
662б |
| 01. L4 01 Intro V1-CtIcmmR0YTs.mp4 |
2.17Мб |
| 01. L6 01 HS Intro V2-zUOOluyHe_E.en.vtt |
1.43Кб |
| 01. L6 01 HS Intro V2-zUOOluyHe_E.mp4 |
4.89Мб |
| 01. L7 Intro V1-tNGSsp6vUvY.en.vtt |
1.81Кб |
| 01. L7 Intro V1-tNGSsp6vUvY.mp4 |
4.62Мб |
| 01. Linear Combination. Part 1.html |
6.48Кб |
| 01. Linear Combinations 1-fmal7UE7dEE.en.vtt |
6.78Кб |
| 01. Linear Combinations 1-fmal7UE7dEE.mp4 |
8.30Мб |
| 01. Linear Combinations 1-fmal7UE7dEE.pt-BR.vtt |
7.01Кб |
| 01. Linear Combinations 1-fmal7UE7dEE.zh-CN.vtt |
5.86Кб |
| 01. M1L1 01 Welcome V1-W2R32yXgwcg.en.vtt |
1.37Кб |
| 01. M1L1 01 Welcome V1-W2R32yXgwcg.mp4 |
3.84Мб |
| 01. M1L2 01 Stocks V6-23sv5ey0ySs.en.vtt |
3.13Кб |
| 01. M1L2 01 Stocks V6-23sv5ey0ySs.mp4 |
3.26Мб |
| 01. M1L3 01 Intro V4-LE-4Xf8lzHk.en.vtt |
1.31Кб |
| 01. M1L3 01 Intro V4-LE-4Xf8lzHk.mp4 |
3.53Мб |
| 01. M1L4 01 Stock Data V2-sN0_IqmMGGA.en.vtt |
825б |
| 01. M1L4 01 Stock Data V2-sN0_IqmMGGA.mp4 |
2.12Мб |
| 01. M1L5 01 Intro V2-mE8OOxkgzy8.en.vtt |
858б |
| 01. M1L5 01 Intro V2-mE8OOxkgzy8.mp4 |
2.20Мб |
| 01. M1L5 02 Returns V6-PngIo6G73Z8.en.vtt |
2.42Кб |
| 01. M1L5 02 Returns V6-PngIo6G73Z8.mp4 |
5.24Мб |
| 01. M1L6 01 Designing A Trading Strategy V4-O7c6bPXBUsU.en.vtt |
1.94Кб |
| 01. M1L6 01 Designing A Trading Strategy V4-O7c6bPXBUsU.mp4 |
4.20Мб |
| 01. M2L2 01 Intro V1-OGx1aYHMgbs.en.vtt |
879б |
| 01. M2L2 01 Intro V1-OGx1aYHMgbs.mp4 |
2.12Мб |
| 01. M2L3 01 Intro V4-C7vWJH05tKA.en.vtt |
2.41Кб |
| 01. M2L3 01 Intro V4-C7vWJH05tKA.mp4 |
10.16Мб |
| 01. M2L4 01 Time Series Modeling V4-QeIu7GMZl20.en.vtt |
2.10Кб |
| 01. M2L4 01 Time Series Modeling V4-QeIu7GMZl20.mp4 |
3.52Мб |
| 01. M2L5 01 What Is Volatility V3-brGVwpDSuG4.en.vtt |
4.23Кб |
| 01. M2L5 01 What Is Volatility V3-brGVwpDSuG4.mp4 |
7.73Мб |
| 01. M2L6 01 Intro V3-CQ6QGAxbUF8.en.vtt |
2.85Кб |
| 01. M2L6 01 Intro V3-CQ6QGAxbUF8.mp4 |
7.39Мб |
| 01. M4 01 Intro To Project 4 V1-7goOG7CdUjU.en.vtt |
2.42Кб |
| 01. M4 01 Intro To Project 4 V1-7goOG7CdUjU.mp4 |
5.39Мб |
| 01. M4 L1B 01 Intro To Lesson V1-ff0paDNA75U.en.vtt |
965б |
| 01. M4 L1B 01 Intro To Lesson V1-ff0paDNA75U.mp4 |
3.49Мб |
| 01. M4 L2A 01 Intro V1-DgsD3yL9Yy0.en.vtt |
4.07Кб |
| 01. M4 L2A 01 Intro V1-DgsD3yL9Yy0.mp4 |
10.80Мб |
| 01. M4 L2A 12 Time Series Risk Model Factor Variance V2-hjVBXeZmA0w.en.vtt |
3.22Кб |
| 01. M4 L2A 12 Time Series Risk Model Factor Variance V2-hjVBXeZmA0w.mp4 |
3.50Мб |
| 01. M4 L2b 01 PCA Statistical Risk Model V1-lDxqJ0JYUzs.en.vtt |
1.94Кб |
| 01. M4 L2b 01 PCA Statistical Risk Model V1-lDxqJ0JYUzs.mp4 |
6.97Мб |
| 01. M4 L3a 01 Intro Efficient Market Hypothesis And Arbitrage Opportunities V3--YpXAt7zuh8.en.vtt |
3.99Кб |
| 01. M4 L3a 01 Intro Efficient Market Hypothesis And Arbitrage Opportunities V3--YpXAt7zuh8.mp4 |
10.10Мб |
| 01. M4 L3A 01 Intro To The Factors V2-OqhRUxHf6wo.en.vtt |
4.05Кб |
| 01. M4 L3A 01 Intro To The Factors V2-OqhRUxHf6wo.mp4 |
13.54Мб |
| 01. M4 L3b 01 Case Studies Intro V3-oWWrWbzDi2k.en.vtt |
2.39Кб |
| 01. M4 L3b 01 Case Studies Intro V3-oWWrWbzDi2k.mp4 |
5.55Мб |
| 01. M4 L4 01 Intro V1-9NzZFszX2E4.en.vtt |
1.23Кб |
| 01. M4 L4 01 Intro V1-9NzZFszX2E4.mp4 |
3.44Мб |
| 01. M4L51 HSA Word Embeddings V3 RENDER V1-ZsLhh1mly9k.en.vtt |
2.78Кб |
| 01. M4L51 HSA Word Embeddings V3 RENDER V1-ZsLhh1mly9k.mp4 |
5.18Мб |
| 01. M4L51 HSA Word Embeddings V3 RENDER V1-ZsLhh1mly9k.pt-BR.vtt |
2.98Кб |
| 01. M4L51 HSA Word Embeddings V3 RENDER V1-ZsLhh1mly9k.zh-CN.vtt |
2.37Кб |
| 01. M7L5 Intro V1-lSJ3XajG1L8.en.vtt |
1.14Кб |
| 01. M7L5 Intro V1-lSJ3XajG1L8.mp4 |
6.24Мб |
| 01. M82 Intro V1-WQ95rYDyVSA.en.vtt |
1.05Кб |
| 01. M82 Intro V1-WQ95rYDyVSA.mp4 |
4.85Мб |
| 01. M8L1 01 Intro V2-RjUIPy_robk.en.vtt |
1007б |
| 01. M8L1 01 Intro V2-RjUIPy_robk.mp4 |
3.86Мб |
| 01. M8L4 01 Intro V1-sIh09ScQXCQ.en.vtt |
378б |
| 01. M8L4 01 Intro V1-sIh09ScQXCQ.mp4 |
1.52Мб |
| 01. Market Data.html |
6.93Кб |
| 01. Maximum Probability.html |
8.50Кб |
| 01. Maximum Probability-5zkupL6EWh8.ar.vtt |
607б |
| 01. Maximum Probability-5zkupL6EWh8.en.vtt |
486б |
| 01. Maximum Probability-5zkupL6EWh8.es-ES.vtt |
529б |
| 01. Maximum Probability-5zkupL6EWh8.ja.vtt |
491б |
| 01. Maximum Probability-5zkupL6EWh8.mp4 |
1.27Мб |
| 01. Maximum Probability-5zkupL6EWh8.pt-BR.vtt |
552б |
| 01. Maximum Probability-5zkupL6EWh8.zh-CN.vtt |
390б |
| 01. Maximum Probability-b2zvrFL8AUw.ar.vtt |
2.71Кб |
| 01. Maximum Probability-b2zvrFL8AUw.en.vtt |
2.11Кб |
| 01. Maximum Probability-b2zvrFL8AUw.es-ES.vtt |
2.17Кб |
| 01. Maximum Probability-b2zvrFL8AUw.ja.vtt |
2.01Кб |
| 01. Maximum Probability-b2zvrFL8AUw.mp4 |
21.97Мб |
| 01. Maximum Probability-b2zvrFL8AUw.pt-BR.vtt |
2.58Кб |
| 01. Maximum Probability-b2zvrFL8AUw.zh-CN.vtt |
1.78Кб |
| 01. MLND SL DT 00 Intro V2-l34ijtQhVNk.en.vtt |
4.37Кб |
| 01. MLND SL DT 00 Intro V2-l34ijtQhVNk.mp4 |
21.68Мб |
| 01. MLND SL DT 00 Intro V2-l34ijtQhVNk.pt-BR.vtt |
4.25Кб |
| 01. MLND SL DT 00 Intro V2-l34ijtQhVNk.zh-CN.vtt |
4.26Кб |
| 01. MV 03 Transition To Project 01 V1-dcps5Bg4bZE.en.vtt |
3.50Кб |
| 01. MV 03 Transition To Project 01 V1-dcps5Bg4bZE.mp4 |
10.22Мб |
| 01. MV 05 Intro To Module 2 V1-92JzOXda9Q8.en.vtt |
1.69Кб |
| 01. MV 05 Intro To Module 2 V1-92JzOXda9Q8.mp4 |
4.97Мб |
| 01. MV 11 Intro To Module 03 Difficulties In Learning V1-kqjFkUVZwEc.en.vtt |
3.26Кб |
| 01. MV 11 Intro To Module 03 Difficulties In Learning V1-kqjFkUVZwEc.mp4 |
9.55Мб |
| 01. MV 12 Transition To Project 03 V1-ClzlNlWqMQI.en.vtt |
1.57Кб |
| 01. MV 12 Transition To Project 03 V1-ClzlNlWqMQI.mp4 |
4.38Мб |
| 01. MV 7 Transition To Project 02 1 V1-nkAcx2X_lfs.en.vtt |
3.30Кб |
| 01. MV 7 Transition To Project 02 1 V1-nkAcx2X_lfs.mp4 |
9.82Мб |
| 01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt |
716б |
| 01. Naive Bayes Intro V2-vNOiQXghgRY.mp4 |
3.22Мб |
| 01. Naive Bayes Intro V2-vNOiQXghgRY.pt-BR.vtt |
690б |
| 01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt |
631б |
| 01. NewsRoom Eddy 1 V2-9MlGvKWQn_o.en.vtt |
4.35Кб |
| 01. NewsRoom Eddy 1 V2-9MlGvKWQn_o.mp4 |
19.26Мб |
| 01. NLP Overview.html |
6.20Кб |
| 01. Our Goal .html |
6.08Кб |
| 01. Project Description.html |
5.83Кб |
| 01. Project Description.html |
5.68Кб |
| 01. Project Description.html |
7.20Кб |
| 01. Prove Your Skills With GitHub.html |
10.98Кб |
| 01. Python Probability Introduction-tFMdvAN7WDY.ar.vtt |
684б |
| 01. Python Probability Introduction-tFMdvAN7WDY.en.vtt |
484б |
| 01. Python Probability Introduction-tFMdvAN7WDY.mp4 |
1.65Мб |
| 01. Python Probability Introduction-tFMdvAN7WDY.pt-BR.vtt |
541б |
| 01. Python Probability Introduction-tFMdvAN7WDY.zh-CN.vtt |
441б |
| 01. Returns.html |
6.34Кб |
| 01. Scripting-Qxe_gCiXUDg.ar.vtt |
885б |
| 01. Scripting-Qxe_gCiXUDg.en.vtt |
645б |
| 01. Scripting-Qxe_gCiXUDg.mp4 |
4.24Мб |
| 01. Scripting-Qxe_gCiXUDg.pt-BR.vtt |
810б |
| 01. Scripting-Qxe_gCiXUDg.zh-CN.vtt |
569б |
| 01. Sentiment RNN, Introduction.html |
6.73Кб |
| 01. Statistical Risk Model.html |
7.11Кб |
| 01. Stocks.html |
5.92Кб |
| 01. Text Processing.html |
6.55Кб |
| 01. Text Processing-6LO6I5M18PQ.en.vtt |
1.18Кб |
| 01. Text Processing-6LO6I5M18PQ.mp4 |
1.77Мб |
| 01. Text Processing-6LO6I5M18PQ.pt-BR.vtt |
1.24Кб |
| 01. Text Processing-6LO6I5M18PQ.zh-CN.vtt |
1.06Кб |
| 01. Time Series Model Factor Variance.html |
7.75Кб |
| 01. Time Series Modeling.html |
6.02Кб |
| 01. Vectors 1-oPBz-MLVUHk.en.vtt |
4.61Кб |
| 01. Vectors 1-oPBz-MLVUHk.mp4 |
4.88Мб |
| 01. Vectors 1-oPBz-MLVUHk.pt-BR.vtt |
4.42Кб |
| 01. Vectors 1-oPBz-MLVUHk.zh-CN.vtt |
3.98Кб |
| 01. Video Introduction.html |
7.94Кб |
| 01. Video What are Measures of Spread.html |
10.33Кб |
| 01. Welcome!.html |
7.19Кб |
| 01. Welcome!.html |
5.58Кб |
| 01. Welcome!.html |
12.80Кб |
| 01. Welcome.html |
5.61Кб |
| 01. Welcome.html |
8.20Кб |
| 01. Welcome to Computer Vision.html |
7.35Кб |
| 01. Welcome to Computer Vision-GgA3_-MMT_I.en.vtt |
1.90Кб |
| 01. Welcome to Computer Vision-GgA3_-MMT_I.mp4 |
7.77Мб |
| 01. Welcome to Computer Vision-GgA3_-MMT_I.zh-CN.vtt |
1.70Кб |
| 01. Welcome To Linear Regression-zxZkTkM34BY.en.vtt |
1.15Кб |
| 01. Welcome To Linear Regression-zxZkTkM34BY.mp4 |
3.90Мб |
| 01. Welcome To Linear Regression-zxZkTkM34BY.pt-BR.vtt |
1.21Кб |
| 01. Welcome to NLP-g-AlFF61p0I.en.vtt |
1.64Кб |
| 01. Welcome to NLP-g-AlFF61p0I.mp4 |
4.97Мб |
| 01. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt |
1.49Кб |
| 01. What's a Vector.html |
6.85Кб |
| 01. What is a Matrix.html |
9.07Кб |
| 01. What is Volatility.html |
6.56Кб |
| 01. What It Takes.html |
6.18Кб |
| 01. Why Network-exjEm9Paszk.ar.vtt |
5.14Кб |
| 01. Why Network-exjEm9Paszk.en.vtt |
3.40Кб |
| 01. Why Network-exjEm9Paszk.es-MX.vtt |
3.20Кб |
| 01. Why Network-exjEm9Paszk.ja-JP.vtt |
4.33Кб |
| 01. Why Network-exjEm9Paszk.mp4 |
17.37Мб |
| 01. Why Network-exjEm9Paszk.pt-BR.vtt |
3.20Кб |
| 01. Why Network-exjEm9Paszk.zh-CN.vtt |
3.29Кб |
| 01. Word Embeddings.html |
7.16Кб |
| 01. 矩阵介绍-Ugx3mldc0lE.en.vtt |
1.03Кб |
| 01. 矩阵介绍-Ugx3mldc0lE.mp4 |
4.15Мб |
| 01. 矩阵介绍-Ugx3mldc0lE.zh-CN.vtt |
1.02Кб |
| 02. 02. What Is Vision-_99V1rUNFa4.en.vtt |
2.02Кб |
| 02. 02. What Is Vision-_99V1rUNFa4.mp4 |
6.75Мб |
| 02. 02. What Is Vision-_99V1rUNFa4.zh-CN.vtt |
1.79Кб |
| 02. 02 Intro SC V1-mIgABrjJVBY.en.vtt |
1.45Кб |
| 02. 02 Intro SC V1-mIgABrjJVBY.mp4 |
1.08Мб |
| 02. 02 Intro SC V1-mIgABrjJVBY.pt-BR.vtt |
1.40Кб |
| 02. AB Testing.html |
8.95Кб |
| 02. AB Testing-EcWvhbIjT9o.en.vtt |
3.08Кб |
| 02. AB Testing-EcWvhbIjT9o.mp4 |
6.32Мб |
| 02. AB Testing-EcWvhbIjT9o.pt-BR.vtt |
3.61Кб |
| 02. AB Testing-EcWvhbIjT9o.zh-CN.vtt |
2.58Кб |
| 02. Admissions 1.html |
9.53Кб |
| 02. Admissions 1-CLgVLQAEYw8.ar.vtt |
1.42Кб |
| 02. Admissions 1-CLgVLQAEYw8.en.vtt |
1.08Кб |
| 02. Admissions 1-CLgVLQAEYw8.es-ES.vtt |
1.17Кб |
| 02. Admissions 1-CLgVLQAEYw8.hr.vtt |
1.05Кб |
| 02. Admissions 1-CLgVLQAEYw8.it.vtt |
1.11Кб |
| 02. Admissions 1-CLgVLQAEYw8.ja.vtt |
1.08Кб |
| 02. Admissions 1-CLgVLQAEYw8.mp4 |
7.61Мб |
| 02. Admissions 1-CLgVLQAEYw8.pt-BR.vtt |
1.28Кб |
| 02. Admissions 1-CLgVLQAEYw8.pt-PT.vtt |
1.14Кб |
| 02. Admissions 1-CLgVLQAEYw8.tr.vtt |
1.14Кб |
| 02. Admissions 1-CLgVLQAEYw8.zh-CN.vtt |
1.05Кб |
| 02. Admissions 1-CLgVLQAEYw8.zh-Hans.vtt |
1.09Кб |
| 02. Admissions 1-f3y_weFskL4.ar.vtt |
99б |
| 02. Admissions 1-f3y_weFskL4.en.vtt |
88б |
| 02. Admissions 1-f3y_weFskL4.es-ES.vtt |
95б |
| 02. Admissions 1-f3y_weFskL4.hr.vtt |
87б |
| 02. Admissions 1-f3y_weFskL4.it.vtt |
89б |
| 02. Admissions 1-f3y_weFskL4.ja.vtt |
100б |
| 02. Admissions 1-f3y_weFskL4.mp4 |
323.09Кб |
| 02. Admissions 1-f3y_weFskL4.pt-BR.vtt |
101б |
| 02. Admissions 1-f3y_weFskL4.pt-PT.vtt |
89б |
| 02. Admissions 1-f3y_weFskL4.tr.vtt |
81б |
| 02. Admissions 1-f3y_weFskL4.zh-CN.vtt |
94б |
| 02. Admissions 1-f3y_weFskL4.zh-Hans.vtt |
98б |
| 02. AIT M5L4A 02 Financial Statement V6-XYff0ROHzWo.en.vtt |
3.66Кб |
| 02. AIT M5L4A 02 Financial Statement V6-XYff0ROHzWo.mp4 |
20.45Мб |
| 02. AIT M5L5 02 Readability V2-pcB63lIgiQg.en.vtt |
2.91Кб |
| 02. AIT M5L5 02 Readability V2-pcB63lIgiQg.mp4 |
17.62Мб |
| 02. AITND TII 02 Overview Of Term 2 V1-dVz-lVGvadY.en.vtt |
1.75Кб |
| 02. AITND TII 02 Overview Of Term 2 V1-dVz-lVGvadY.mp4 |
6.89Мб |
| 02. Arithmetic Operators.html |
10.91Кб |
| 02. Arithmetic Operators-M8TIOK2P2yw.ar.vtt |
4.67Кб |
| 02. Arithmetic Operators-M8TIOK2P2yw.en.vtt |
3.42Кб |
| 02. Arithmetic Operators-M8TIOK2P2yw.mp4 |
11.07Мб |
| 02. Arithmetic Operators-M8TIOK2P2yw.pt-BR.vtt |
3.70Кб |
| 02. Arithmetic Operators-M8TIOK2P2yw.zh-CN.vtt |
2.97Кб |
| 02. Autoregressive Models.html |
6.02Кб |
| 02. Bag of Words.html |
6.10Кб |
| 02. Bag Of Words-A7M1z8yLl0w.en.vtt |
4.72Кб |
| 02. Bag Of Words-A7M1z8yLl0w.mp4 |
4.01Мб |
| 02. Bag Of Words-A7M1z8yLl0w.pt-BR.vtt |
5.04Кб |
| 02. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt |
4.13Кб |
| 02. Cancer Test.html |
11.95Кб |
| 02. Cancer Test-CNpSrdnYvbo.ar.vtt |
4.48Кб |
| 02. Cancer Test-CNpSrdnYvbo.en.vtt |
3.25Кб |
| 02. Cancer Test-CNpSrdnYvbo.es-ES.vtt |
3.44Кб |
| 02. Cancer Test-CNpSrdnYvbo.it.vtt |
3.45Кб |
| 02. Cancer Test-CNpSrdnYvbo.ja.vtt |
3.28Кб |
| 02. Cancer Test-CNpSrdnYvbo.mp4 |
18.01Мб |
| 02. Cancer Test-CNpSrdnYvbo.pt-BR.vtt |
3.05Кб |
| 02. Cancer Test-CNpSrdnYvbo.th.vtt |
5.13Кб |
| 02. Cancer Test-CNpSrdnYvbo.zh-CN.vtt |
3.06Кб |
| 02. Cancer Test-FnNveASivMA.ar.vtt |
1.32Кб |
| 02. Cancer Test-FnNveASivMA.en.vtt |
1.05Кб |
| 02. Cancer Test-FnNveASivMA.es-ES.vtt |
1.07Кб |
| 02. Cancer Test-FnNveASivMA.it.vtt |
1.08Кб |
| 02. Cancer Test-FnNveASivMA.ja.vtt |
1018б |
| 02. Cancer Test-FnNveASivMA.mp4 |
2.08Мб |
| 02. Cancer Test-FnNveASivMA.pt-BR.vtt |
1014б |
| 02. Cancer Test-FnNveASivMA.th.vtt |
1.94Кб |
| 02. Cancer Test-FnNveASivMA.zh-CN.vtt |
978б |
| 02. Coding Examples.html |
6.75Кб |
| 02. Conditional Statements.html |
17.23Кб |
| 02. Default Arguments-cG6UfBZX2KI.ar.vtt |
2.72Кб |
| 02. Default Arguments-cG6UfBZX2KI.en.vtt |
2.05Кб |
| 02. Default Arguments-cG6UfBZX2KI.mp4 |
5.64Мб |
| 02. Default Arguments-cG6UfBZX2KI.pt-BR.vtt |
2.40Кб |
| 02. Default Arguments-cG6UfBZX2KI.zh-CN.vtt |
1.81Кб |
| 02. Defining Functions.html |
15.49Кб |
| 02. Defining Functions-IP_tJYhynbc.ar.vtt |
6.65Кб |
| 02. Defining Functions-IP_tJYhynbc.en.vtt |
5.39Кб |
| 02. Defining Functions-IP_tJYhynbc.mp4 |
15.48Мб |
| 02. Defining Functions-IP_tJYhynbc.pt-BR.vtt |
5.95Кб |
| 02. Defining Functions-IP_tJYhynbc.zh-CN.vtt |
4.75Кб |
| 02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.ar.vtt |
4.74Кб |
| 02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt |
3.22Кб |
| 02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.mp4 |
6.17Мб |
| 02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.pt-BR.vtt |
3.51Кб |
| 02. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.zh-CN.vtt |
2.74Кб |
| 02. Distributions.html |
6.97Кб |
| 02. Diversification.html |
6.76Кб |
| 02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.en.vtt |
1.36Кб |
| 02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.ja-JP.vtt |
1.51Кб |
| 02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.mp4 |
1.48Мб |
| 02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.pt-BR.vtt |
1.46Кб |
| 02. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.zh-CN.vtt |
1.26Кб |
| 02. Embedding Weight MatrixLookup Table.html |
7.25Кб |
| 02. exercise.html |
7.67Кб |
| 02. Farmers' Market.html |
6.10Кб |
| 02. Feature Importance in Finance.html |
6.67Кб |
| 02. Financial Statements.html |
7.75Кб |
| 02. Flipping Coins.html |
9.86Кб |
| 02. Flipping Coins-lgUDXtUyLLg.ar.vtt |
799б |
| 02. Flipping Coins-lgUDXtUyLLg.en.vtt |
635б |
| 02. Flipping Coins-lgUDXtUyLLg.es-ES.vtt |
686б |
| 02. Flipping Coins-lgUDXtUyLLg.hr.vtt |
637б |
| 02. Flipping Coins-lgUDXtUyLLg.it.vtt |
695б |
| 02. Flipping Coins-lgUDXtUyLLg.ja.vtt |
617б |
| 02. Flipping Coins-lgUDXtUyLLg.mp4 |
4.62Мб |
| 02. Flipping Coins-lgUDXtUyLLg.pt-BR.vtt |
570б |
| 02. Flipping Coins-lgUDXtUyLLg.ru.vtt |
617б |
| 02. Flipping Coins-lgUDXtUyLLg.th.vtt |
1.15Кб |
| 02. Flipping Coins-lgUDXtUyLLg.zh-CN.vtt |
537б |
| 02. Flipping Coins-OpNufHYgJCg.ar.vtt |
2.01Кб |
| 02. Flipping Coins-OpNufHYgJCg.en.vtt |
1.47Кб |
| 02. Flipping Coins-OpNufHYgJCg.es-ES.vtt |
1.55Кб |
| 02. Flipping Coins-OpNufHYgJCg.hr.vtt |
1.50Кб |
| 02. Flipping Coins-OpNufHYgJCg.it.vtt |
1.64Кб |
| 02. Flipping Coins-OpNufHYgJCg.ja.vtt |
1.32Кб |
| 02. Flipping Coins-OpNufHYgJCg.mp4 |
11.32Мб |
| 02. Flipping Coins-OpNufHYgJCg.pt-BR.vtt |
1.33Кб |
| 02. Flipping Coins-OpNufHYgJCg.th.vtt |
2.84Кб |
| 02. Flipping Coins-OpNufHYgJCg.zh-CN.vtt |
1.32Кб |
| 02. Guess the Person.html |
6.93Кб |
| 02. Heads Tails.html |
8.56Кб |
| 02. Heads Tails-iyX0-eXStbw.ar.vtt |
472б |
| 02. Heads Tails-iyX0-eXStbw.en.vtt |
341б |
| 02. Heads Tails-iyX0-eXStbw.es-ES.vtt |
357б |
| 02. Heads Tails-iyX0-eXStbw.ja.vtt |
300б |
| 02. Heads Tails-iyX0-eXStbw.mp4 |
1.08Мб |
| 02. Heads Tails-iyX0-eXStbw.pt-BR.vtt |
375б |
| 02. Heads Tails-iyX0-eXStbw.zh-CN.vtt |
290б |
| 02. Heads Tails-yo55zJtJQwo.ar.vtt |
141б |
| 02. Heads Tails-yo55zJtJQwo.en.vtt |
118б |
| 02. Heads Tails-yo55zJtJQwo.es-ES.vtt |
125б |
| 02. Heads Tails-yo55zJtJQwo.ja.vtt |
139б |
| 02. Heads Tails-yo55zJtJQwo.mp4 |
1.03Мб |
| 02. Heads Tails-yo55zJtJQwo.pt-BR.vtt |
158б |
| 02. Heads Tails-yo55zJtJQwo.zh-CN.vtt |
117б |
| 02. Histograms-4t10RgUv2Fc.ar.vtt |
2.27Кб |
| 02. Histograms-4t10RgUv2Fc.en.vtt |
1.61Кб |
| 02. Histograms-4t10RgUv2Fc.mp4 |
2.57Мб |
| 02. Histograms-4t10RgUv2Fc.pt-BR.vtt |
1.75Кб |
| 02. Histograms-4t10RgUv2Fc.zh-CN.vtt |
1.38Кб |
| 02. Historical Volatility.html |
6.58Кб |
| 02. Hypothesis Testing.html |
9.51Кб |
| 02. Hypothesis Testing-9GbHHpiK6wk.en.vtt |
2.52Кб |
| 02. Hypothesis Testing-9GbHHpiK6wk.mp4 |
10.68Мб |
| 02. Hypothesis Testing-9GbHHpiK6wk.pt-BR.vtt |
2.42Кб |
| 02. Hypothesis Testing-9GbHHpiK6wk.zh-CN.vtt |
2.26Кб |
| 02. If Elif and Else-KZubH5XT0eU.ar.vtt |
4.12Кб |
| 02. If Elif and Else-KZubH5XT0eU.en.vtt |
2.83Кб |
| 02. If Elif and Else-KZubH5XT0eU.mp4 |
18.28Мб |
| 02. If Elif and Else-KZubH5XT0eU.pt-BR.vtt |
3.18Кб |
| 02. If Elif and Else-KZubH5XT0eU.zh-CN.vtt |
2.50Кб |
| 02. If Statements-jWiIUMrwPqA.ar.vtt |
3.99Кб |
| 02. If Statements-jWiIUMrwPqA.en.vtt |
2.70Кб |
| 02. If Statements-jWiIUMrwPqA.mp4 |
16.99Мб |
| 02. If Statements-jWiIUMrwPqA.pt-BR.vtt |
3.11Кб |
| 02. If Statements-jWiIUMrwPqA.zh-CN.vtt |
2.32Кб |
| 02. Indentation-G8qUNOTHtrM.ar.vtt |
1.54Кб |
| 02. Indentation-G8qUNOTHtrM.en.vtt |
1.09Кб |
| 02. Indentation-G8qUNOTHtrM.mp4 |
7.65Мб |
| 02. Indentation-G8qUNOTHtrM.pt-BR.vtt |
1.31Кб |
| 02. Indentation-G8qUNOTHtrM.zh-CN.vtt |
1007б |
| 02. install libraries.html |
9.56Кб |
| 02. install libraries.html |
13.89Кб |
| 02. install libraries.html |
11.06Кб |
| 02. Instructors.html |
7.49Кб |
| 02. Intro.html |
7.99Кб |
| 02. Introduction.html |
9.08Кб |
| 02. Introduction.html |
8.14Кб |
| 02. Introduction.html |
8.80Кб |
| 02. Introduction.html |
9.09Кб |
| 02. Introduction-tn-CrUTkCUc.en.vtt |
3.28Кб |
| 02. Introduction-tn-CrUTkCUc.en.vtt |
3.28Кб |
| 02. Introduction-tn-CrUTkCUc.mp4 |
7.54Мб |
| 02. Introduction-tn-CrUTkCUc.mp4 |
7.54Мб |
| 02. Introduction-tn-CrUTkCUc.pt-BR.vtt |
3.09Кб |
| 02. Introduction-tn-CrUTkCUc.pt-BR.vtt |
3.09Кб |
| 02. Introduction-tn-CrUTkCUc.zh-CN.vtt |
2.84Кб |
| 02. Introduction-tn-CrUTkCUc.zh-CN.vtt |
2.84Кб |
| 02. Introduction to NumPy.html |
9.40Кб |
| 02. Introduction to pandas.html |
9.17Кб |
| 02. Introduction-Vnj2VNQROtI.ar.vtt |
2.28Кб |
| 02. Introduction-Vnj2VNQROtI.en.vtt |
1.58Кб |
| 02. Introduction-Vnj2VNQROtI.ja-JP.vtt |
1.97Кб |
| 02. Introduction-Vnj2VNQROtI.mp4 |
9.59Мб |
| 02. Introduction-Vnj2VNQROtI.pt-BR.vtt |
1.79Кб |
| 02. Introduction-Vnj2VNQROtI.zh-CN.vtt |
1.62Кб |
| 02. Introduction-XZL934YQ-FQ.en.vtt |
1.89Кб |
| 02. Introduction-XZL934YQ-FQ.es.vtt |
2.08Кб |
| 02. Introduction-XZL934YQ-FQ.es-ES.vtt |
2.08Кб |
| 02. Introduction-XZL934YQ-FQ.ja.vtt |
2.12Кб |
| 02. Introduction-XZL934YQ-FQ.mp4 |
10.68Мб |
| 02. Introduction-XZL934YQ-FQ.pt.vtt |
1.99Кб |
| 02. Introduction-XZL934YQ-FQ.pt-PT.vtt |
1.99Кб |
| 02. Introduction-XZL934YQ-FQ.ru.vtt |
3.29Кб |
| 02. Introduction-XZL934YQ-FQ.zh-CN.vtt |
1.78Кб |
| 02. Intro to the Lesson.html |
6.43Кб |
| 02. Intro to this lesson.html |
8.35Кб |
| 02. Jonathan Larkin - What Is A Quant-G22oM0qv0Hs.en.vtt |
4.11Кб |
| 02. Jonathan Larkin - What Is A Quant-G22oM0qv0Hs.mp4 |
14.19Мб |
| 02. Jupyter-qiYDWFLyXvg.ar.vtt |
3.41Кб |
| 02. Jupyter-qiYDWFLyXvg.en.vtt |
2.70Кб |
| 02. Jupyter-qiYDWFLyXvg.mp4 |
7.12Мб |
| 02. Jupyter-qiYDWFLyXvg.pt-BR.vtt |
2.41Кб |
| 02. Jupyter-qiYDWFLyXvg.zh-CN.vtt |
2.64Кб |
| 02. L1 00 Intro V2-JA4WBd6sHF4.en.vtt |
1.35Кб |
| 02. L1 00 Intro V2-JA4WBd6sHF4.mp4 |
3.78Мб |
| 02. L1 01 Intro V3-yyNtiUyI5Tw.ar.vtt |
1.02Кб |
| 02. L1 01 Intro V3-yyNtiUyI5Tw.en.vtt |
806б |
| 02. L1 01 Intro V3-yyNtiUyI5Tw.mp4 |
5.21Мб |
| 02. L1 01 Intro V3-yyNtiUyI5Tw.pt-BR.vtt |
1021б |
| 02. L1 01 Intro V3-yyNtiUyI5Tw.zh-CN.vtt |
745б |
| 02. L1 01 Stocks V2-XHo5iyxDxOQ.en.vtt |
2.22Кб |
| 02. L1 01 Stocks V2-XHo5iyxDxOQ.mp4 |
6.30Мб |
| 02. L2 12 Shortcomings Of Mutual Funds V2-oEqsaex31Qg.en.vtt |
1.96Кб |
| 02. L2 12 Shortcomings Of Mutual Funds V2-oEqsaex31Qg.mp4 |
5.62Мб |
| 02. L3 02 Diversification V3-tyzqlXddXd8.en.vtt |
2.87Кб |
| 02. L3 02 Diversification V3-tyzqlXddXd8.mp4 |
5.67Мб |
| 02. L4 02 What Is Optimization V2-ISRlP1GeOjU.en.vtt |
3.11Кб |
| 02. L4 02 What Is Optimization V2-ISRlP1GeOjU.mp4 |
4.97Мб |
| 02. L7 H3 V1-xaXHTDANbnc.en.vtt |
1.49Кб |
| 02. L7 H3 V1-xaXHTDANbnc.mp4 |
6.29Мб |
| 02. Linear Combination. Part 2.html |
6.48Кб |
| 02. Linear Combinations 2-RsKJNDTb8nw.en.vtt |
7.21Кб |
| 02. Linear Combinations 2-RsKJNDTb8nw.mp4 |
14.17Мб |
| 02. Linear Combinations 2-RsKJNDTb8nw.pt-BR.vtt |
7.04Кб |
| 02. Linear Combinations 2-RsKJNDTb8nw.zh-CN.vtt |
6.36Кб |
| 02. M1L1 02 Interview W Jonathan V1-AeranuDRL7k.en.vtt |
851б |
| 02. M1L1 02 Interview W Jonathan V1-AeranuDRL7k.mp4 |
1.98Мб |
| 02. M1L2 01 Stock Pt II V1-SGb54HLbk1g.en.vtt |
4.02Кб |
| 02. M1L2 01 Stock Pt II V1-SGb54HLbk1g.mp4 |
3.76Мб |
| 02. M1L2 02 Stock Prices V7-l_PilXVuh8I.en.vtt |
4.99Кб |
| 02. M1L2 02 Stock Prices V7-l_PilXVuh8I.mp4 |
6.68Мб |
| 02. M1L3 02 Farmers Market V3-i_itXOdetCc.en.vtt |
1.96Кб |
| 02. M1L3 02 Farmers Market V3-i_itXOdetCc.mp4 |
7.58Мб |
| 02. M1L4 02 Market Data V5-9aEp374GsgQ.en.vtt |
2.28Кб |
| 02. M1L4 02 Market Data V5-9aEp374GsgQ.mp4 |
2.73Мб |
| 02. M1L6 02 Momentumbased Signals V4-RedwbmYg6e4.en.vtt |
2.68Кб |
| 02. M1L6 02 Momentumbased Signals V4-RedwbmYg6e4.mp4 |
5.75Мб |
| 02. M2L1 01 Starting From A Hypothesis V3-yjlt4yerB9I.en.vtt |
4.60Кб |
| 02. M2L1 01 Starting From A Hypothesis V3-yjlt4yerB9I.mp4 |
7.32Мб |
| 02. M2L2 02 Sources Of Outliers V8-gXKhKQ2_TaA.en.vtt |
7.10Кб |
| 02. M2L2 02 Sources Of Outliers V8-gXKhKQ2_TaA.mp4 |
15.13Мб |
| 02. M2L3 02 Distributions V2-ZlRGxq5I9BU.en.vtt |
2.88Кб |
| 02. M2L3 02 Distributions V2-ZlRGxq5I9BU.mp4 |
6.13Мб |
| 02. M2L4 02 Autoregressive Models V5-9jE7S4b-oIU.en.vtt |
4.31Кб |
| 02. M2L4 02 Autoregressive Models V5-9jE7S4b-oIU.mp4 |
4.42Мб |
| 02. M2L5 02 Historical Volatility V3-BOPhsYLHkUU.en.vtt |
4.04Кб |
| 02. M2L5 02 Historical Volatility V3-BOPhsYLHkUU.mp4 |
7.30Мб |
| 02. M2L6 02 Mean Reversion V5-zQ08lFcZa_A.en.vtt |
3.33Кб |
| 02. M2L6 02 Mean Reversion V5-zQ08lFcZa_A.mp4 |
3.97Мб |
| 02. M4 L1A 02 Intro V2-W7_llXQ2GhA.en.vtt |
5.09Кб |
| 02. M4 L1A 02 Intro V2-W7_llXQ2GhA.mp4 |
19.76Мб |
| 02. M4 L1B 02 What Is A Factor Model V4-K5QKPwU38Do.en.vtt |
3.79Кб |
| 02. M4 L1B 02 What Is A Factor Model V4-K5QKPwU38Do.mp4 |
14.18Мб |
| 02. M4 L2A 13 Time Series Risk Model Factor Exposure V4-WPBSMptBrfw.en.vtt |
2.34Кб |
| 02. M4 L2A 13 Time Series Risk Model Factor Exposure V4-WPBSMptBrfw.mp4 |
2.16Мб |
| 02. M4 L2b 02 Vector Two Ways V3-mlw6FnCUloU.en.vtt |
1.65Кб |
| 02. M4 L2b 02 Vector Two Ways V3-mlw6FnCUloU.mp4 |
3.94Мб |
| 02. M4 L4 02 Setting Up The Problem Alphas V5-6GeyU-thC4U.en.vtt |
2.52Кб |
| 02. M4 L4 02 Setting Up The Problem Alphas V5-6GeyU-thC4U.mp4 |
6.71Мб |
| 02. M4L52 HSA Embedding Weight Matrix V3 RENDER V2-KVCcG5v8fi0.en.vtt |
4.51Кб |
| 02. M4L52 HSA Embedding Weight Matrix V3 RENDER V2-KVCcG5v8fi0.mp4 |
5.99Мб |
| 02. M4L52 HSA Embedding Weight Matrix V3 RENDER V2-KVCcG5v8fi0.pt-BR.vtt |
4.58Кб |
| 02. M4L52 HSA Embedding Weight Matrix V3 RENDER V2-KVCcG5v8fi0.zh-CN.vtt |
3.74Кб |
| 02. M8L1 06 What Is A Backtest V4-q2dW6-ZRaXE.en.vtt |
3.35Кб |
| 02. M8L1 06 What Is A Backtest V4-q2dW6-ZRaXE.mp4 |
14.77Мб |
| 02. Matrix Addition.html |
9.43Кб |
| 02. Mean Reversion.html |
11.09Кб |
| 02. Medical Example 1.html |
9.12Кб |
| 02. Medical Example 1-E1ph6NP3_v4.ar.vtt |
132б |
| 02. Medical Example 1-E1ph6NP3_v4.en.vtt |
119б |
| 02. Medical Example 1-E1ph6NP3_v4.es-ES.vtt |
125б |
| 02. Medical Example 1-E1ph6NP3_v4.it.vtt |
138б |
| 02. Medical Example 1-E1ph6NP3_v4.ja.vtt |
141б |
| 02. Medical Example 1-E1ph6NP3_v4.mp4 |
747.17Кб |
| 02. Medical Example 1-E1ph6NP3_v4.pt-BR.vtt |
146б |
| 02. Medical Example 1-E1ph6NP3_v4.th.vtt |
164б |
| 02. Medical Example 1-E1ph6NP3_v4.zh-CN.vtt |
118б |
| 02. Medical Example 1-mFfbts1lAEo.ar.vtt |
558б |
| 02. Medical Example 1-mFfbts1lAEo.en.vtt |
427б |
| 02. Medical Example 1-mFfbts1lAEo.es-ES.vtt |
466б |
| 02. Medical Example 1-mFfbts1lAEo.it.vtt |
422б |
| 02. Medical Example 1-mFfbts1lAEo.ja.vtt |
444б |
| 02. Medical Example 1-mFfbts1lAEo.mp4 |
2.69Мб |
| 02. Medical Example 1-mFfbts1lAEo.pt-BR.vtt |
498б |
| 02. Medical Example 1-mFfbts1lAEo.th.vtt |
813б |
| 02. Medical Example 1-mFfbts1lAEo.zh-CN.vtt |
341б |
| 02. Meet Chris-0ccflD9x5WU.ar.vtt |
6.32Кб |
| 02. Meet Chris-0ccflD9x5WU.en.vtt |
4.89Кб |
| 02. Meet Chris-0ccflD9x5WU.es-MX.vtt |
4.52Кб |
| 02. Meet Chris-0ccflD9x5WU.ja-JP.vtt |
5.61Кб |
| 02. Meet Chris-0ccflD9x5WU.mp4 |
32.54Мб |
| 02. Meet Chris-0ccflD9x5WU.pt-BR.vtt |
4.47Кб |
| 02. Meet Chris-0ccflD9x5WU.zh-CN.vtt |
4.41Кб |
| 02. MLND SL DT 00 Intro V2-l34ijtQhVNk.en.vtt |
4.37Кб |
| 02. MLND SL DT 00 Intro V2-l34ijtQhVNk.mp4 |
21.68Мб |
| 02. MLND SL DT 00 Intro V2-l34ijtQhVNk.pt-BR.vtt |
4.25Кб |
| 02. MLND SL DT 00 Intro V2-l34ijtQhVNk.zh-CN.vtt |
4.26Кб |
| 02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.en.vtt |
1.66Кб |
| 02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.mp4 |
4.80Мб |
| 02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.pt-BR.vtt |
1.68Кб |
| 02. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.zh-CN.vtt |
1.53Кб |
| 02. Momentum-based Signals.html |
6.71Кб |
| 02. NLP Overview.html |
6.28Кб |
| 02. Outline.html |
7.41Кб |
| 02. Overview of Machine Learning Techniques.html |
6.15Кб |
| 02. Overview of Term II.html |
5.62Кб |
| 02. Pre-Notebook.html |
9.30Кб |
| 02. Pre-Notebook Sentiment RNN.html |
8.86Кб |
| 02. Project 7 Workspace.html |
6.14Кб |
| 02. Project 8 Workspace.html |
6.23Кб |
| 02. Project Description.html |
6.27Кб |
| 02. Project Description.html |
5.97Кб |
| 02. Project Description.html |
6.18Кб |
| 02. Project Description.html |
6.04Кб |
| 02. Project Description.html |
5.71Кб |
| 02. Project Notebook.html |
6.14Кб |
| 02. Python Installation.html |
11.70Кб |
| 02. Python Installation-2_P05aYChqQ.ar.vtt |
2.24Кб |
| 02. Python Installation-2_P05aYChqQ.en.vtt |
1.76Кб |
| 02. Python Installation-2_P05aYChqQ.mp4 |
6.71Мб |
| 02. Python Installation-2_P05aYChqQ.pt-BR.vtt |
2.12Кб |
| 02. Python Installation-2_P05aYChqQ.zh-CN.vtt |
1.64Кб |
| 02. Quiz Calculate Returns.html |
6.33Кб |
| 02. Quiz Housing Prices.html |
9.03Кб |
| 02. Readability.html |
5.98Кб |
| 02. Recommending Apps 1.html |
10.59Кб |
| 02. Review Decision Trees.html |
7.55Кб |
| 02. Review Feature Engineering.html |
7.65Кб |
| 02. Review Multi-Factor Models.html |
7.70Кб |
| 02. Review Random Forests.html |
7.70Кб |
| 02. Reviews.html |
6.04Кб |
| 02. RNN vs LSTM.html |
7.33Кб |
| 02. RNN Vs LSTM-70MgF-IwAr8.en.vtt |
4.71Кб |
| 02. RNN Vs LSTM-70MgF-IwAr8.mp4 |
3.58Мб |
| 02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt |
4.24Кб |
| 02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt |
4.22Кб |
| 02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.en.vtt |
2.26Кб |
| 02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.mp4 |
4.66Мб |
| 02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.pt-BR.vtt |
2.41Кб |
| 02. Sampling To Distributions To Confidence Intervals-QYMLkDToigc.zh-CN.vtt |
1.83Кб |
| 02. Setting Up the Problem Alphas.html |
7.10Кб |
| 02. Shape.html |
8.91Кб |
| 02. Shape-DjsL64Kjr1Q.ar.vtt |
2.60Кб |
| 02. Shape-DjsL64Kjr1Q.en.vtt |
1.85Кб |
| 02. Shape-DjsL64Kjr1Q.es-ES.vtt |
1.85Кб |
| 02. Shape-DjsL64Kjr1Q.ja.vtt |
1.78Кб |
| 02. Shape-DjsL64Kjr1Q.mp4 |
11.18Мб |
| 02. Shape-DjsL64Kjr1Q.pt-BR.vtt |
1.97Кб |
| 02. Shape-DjsL64Kjr1Q.zh-CN.vtt |
1.64Кб |
| 02. Shape-w5qcGO8krMw.ar.vtt |
1002б |
| 02. Shape-w5qcGO8krMw.en.vtt |
790б |
| 02. Shape-w5qcGO8krMw.es-ES.vtt |
817б |
| 02. Shape-w5qcGO8krMw.ja.vtt |
748б |
| 02. Shape-w5qcGO8krMw.mp4 |
1.62Мб |
| 02. Shape-w5qcGO8krMw.pt-BR.vtt |
848б |
| 02. Shape-w5qcGO8krMw.zh-CN.vtt |
677б |
| 02. Shortcomings of Mutual Funds.html |
6.35Кб |
| 02. Simulating Coin Flips.html |
7.41Кб |
| 02. Simulating Coin Flips-7YtQNZ3iy6o.ar.vtt |
4.92Кб |
| 02. Simulating Coin Flips-7YtQNZ3iy6o.en.vtt |
3.60Кб |
| 02. Simulating Coin Flips-7YtQNZ3iy6o.mp4 |
3.84Мб |
| 02. Simulating Coin Flips-7YtQNZ3iy6o.pt-BR.vtt |
3.91Кб |
| 02. Simulating Coin Flips-7YtQNZ3iy6o.zh-CN.vtt |
3.18Кб |
| 02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt |
3.40Кб |
| 02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4 |
8.49Мб |
| 02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.pt-BR.vtt |
3.25Кб |
| 02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.zh-CN.vtt |
3.00Кб |
| 02. Sources of Outliers.html |
6.24Кб |
| 02. Starting from a Hypothesis.html |
5.63Кб |
| 02. Stock Prices.html |
8.90Кб |
| 02. Structured Languages.html |
9.25Кб |
| 02. Structured Languages-NsmqUIHlk6U.en.vtt |
1.79Кб |
| 02. Structured Languages-NsmqUIHlk6U.mp4 |
5.36Мб |
| 02. Structured Languages-NsmqUIHlk6U.zh-CN.vtt |
1.51Кб |
| 02. Support.html |
5.60Кб |
| 02. Text Optional Lessons Note.html |
9.25Кб |
| 02. Time Series Model Factor Exposure.html |
7.69Кб |
| 02. Training Optimization.html |
6.88Кб |
| 02. Training Optimization-UiGKhx9pUYc.en.vtt |
824б |
| 02. Training Optimization-UiGKhx9pUYc.mp4 |
2.96Мб |
| 02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt |
874б |
| 02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt |
840б |
| 02. Unsupervised Learning.html |
7.27Кб |
| 02. Unsupervised Learning-Mx9f99bRB3Q.ar.vtt |
4.39Кб |
| 02. Unsupervised Learning-Mx9f99bRB3Q.en.vtt |
3.21Кб |
| 02. Unsupervised Learning-Mx9f99bRB3Q.mp4 |
12.68Мб |
| 02. Unsupervised Learning-Mx9f99bRB3Q.pt-BR.vtt |
3.15Кб |
| 02. Unsupervised Learning-Mx9f99bRB3Q.zh-CN.vtt |
2.67Кб |
| 02. Use Your Story to Stand Out.html |
8.75Кб |
| 02. Vectors, what even are they Part 2.html |
6.90Кб |
| 02. Vectors 2-R7WiQYixvRQ.en.vtt |
2.82Кб |
| 02. Vectors 2-R7WiQYixvRQ.mp4 |
2.52Мб |
| 02. Vectors 2-R7WiQYixvRQ.pt-BR.vtt |
2.55Кб |
| 02. Vectors 2-R7WiQYixvRQ.zh-CN.vtt |
2.29Кб |
| 02. Vectors Two Ways.html |
7.07Кб |
| 02. Video Descriptive vs. Inferential Statistics.html |
10.50Кб |
| 02. Video From Sampling Distributions to Confidence Intervals.html |
9.17Кб |
| 02. Video Histograms.html |
10.13Кб |
| 02. Welcome to NLP-g-AlFF61p0I.en.vtt |
1.64Кб |
| 02. Welcome to NLP-g-AlFF61p0I.mp4 |
4.97Мб |
| 02. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt |
1.49Кб |
| 02. Welcome to the Course!.html |
6.55Кб |
| 02. What are Jupyter notebooks.html |
13.01Кб |
| 02. What is a Backtest.html |
6.14Кб |
| 02. What is a Factor Model.html |
8.23Кб |
| 02. What is a Quant.html |
6.99Кб |
| 02. What is Optimization.html |
9.97Кб |
| 02. What is Vision.html |
8.16Кб |
| 02. When to Use Time Stamps.html |
8.11Кб |
| 03. 03. Role In AI Render-xm1TXnNe5Pw.en.vtt |
1.43Кб |
| 03. 03. Role In AI Render-xm1TXnNe5Pw.mp4 |
4.60Мб |
| 03. 03. Role In AI Render-xm1TXnNe5Pw.zh-CN.vtt |
1.32Кб |
| 03. 10-K Walkthrough.html |
7.72Кб |
| 03. 3 Word2Vec Notebook V2-4cWzv3YiF_w.en.vtt |
6.87Кб |
| 03. 3 Word2Vec Notebook V2-4cWzv3YiF_w.mp4 |
7.12Мб |
| 03. 3 Word2Vec Notebook V2-4cWzv3YiF_w.pt-BR.vtt |
7.08Кб |
| 03. 3 Word2Vec Notebook V2-4cWzv3YiF_w.zh-CN.vtt |
5.94Кб |
| 03. AB Testing.html |
10.92Кб |
| 03. Admissions 2.html |
9.20Кб |
| 03. Admissions 2-o91iPvtqt78.ar.vtt |
94б |
| 03. Admissions 2-o91iPvtqt78.en.vtt |
90б |
| 03. Admissions 2-o91iPvtqt78.es-ES.vtt |
95б |
| 03. Admissions 2-o91iPvtqt78.hr.vtt |
85б |
| 03. Admissions 2-o91iPvtqt78.it.vtt |
88б |
| 03. Admissions 2-o91iPvtqt78.ja.vtt |
88б |
| 03. Admissions 2-o91iPvtqt78.mp4 |
339.25Кб |
| 03. Admissions 2-o91iPvtqt78.pt-BR.vtt |
91б |
| 03. Admissions 2-o91iPvtqt78.zh-CN.vtt |
83б |
| 03. Admissions 2-o91iPvtqt78.zh-Hans.vtt |
85б |
| 03. Admissions 2-pJrwiukN3Ls.ar.vtt |
208б |
| 03. Admissions 2-pJrwiukN3Ls.en.vtt |
196б |
| 03. Admissions 2-pJrwiukN3Ls.es-ES.vtt |
227б |
| 03. Admissions 2-pJrwiukN3Ls.hr.vtt |
209б |
| 03. Admissions 2-pJrwiukN3Ls.it.vtt |
205б |
| 03. Admissions 2-pJrwiukN3Ls.ja.vtt |
219б |
| 03. Admissions 2-pJrwiukN3Ls.mp4 |
1.21Мб |
| 03. Admissions 2-pJrwiukN3Ls.pt-BR.vtt |
223б |
| 03. Admissions 2-pJrwiukN3Ls.pt-PT.vtt |
215б |
| 03. Admissions 2-pJrwiukN3Ls.zh-CN.vtt |
180б |
| 03. Admissions 2-pJrwiukN3Ls.zh-Hans.vtt |
189б |
| 03. AITND Finish V2-g-a4ZNIPQqw.en.vtt |
4.85Кб |
| 03. AITND Finish V2-g-a4ZNIPQqw.mp4 |
23.10Мб |
| 03. Alpha Factors versus Risk Factor Modeling.html |
11.74Кб |
| 03. Annualized Volatility.html |
6.45Кб |
| 03. Backtest Validity.html |
6.14Кб |
| 03. barra data.html |
7.12Кб |
| 03. Basics of LSTM.html |
7.34Кб |
| 03. Better Formula.html |
8.59Кб |
| 03. Better Formula-vMAl1m8ZtoI.ar.vtt |
650б |
| 03. Better Formula-vMAl1m8ZtoI.en.vtt |
528б |
| 03. Better Formula-vMAl1m8ZtoI.es-ES.vtt |
533б |
| 03. Better Formula-vMAl1m8ZtoI.ja.vtt |
492б |
| 03. Better Formula-vMAl1m8ZtoI.mp4 |
2.52Мб |
| 03. Better Formula-vMAl1m8ZtoI.pt-BR.vtt |
523б |
| 03. Better Formula-vMAl1m8ZtoI.zh-CN.vtt |
441б |
| 03. Better Formula-z2xsu2Kehyo.ar.vtt |
302б |
| 03. Better Formula-z2xsu2Kehyo.en.vtt |
216б |
| 03. Better Formula-z2xsu2Kehyo.es-ES.vtt |
231б |
| 03. Better Formula-z2xsu2Kehyo.ja.vtt |
202б |
| 03. Better Formula-z2xsu2Kehyo.mp4 |
1.10Мб |
| 03. Better Formula-z2xsu2Kehyo.pt-BR.vtt |
240б |
| 03. Better Formula-z2xsu2Kehyo.zh-CN.vtt |
184б |
| 03. Breakout Strategy Workspace.html |
6.53Кб |
| 03. Capturing Text Data.html |
7.10Кб |
| 03. Capturing Text Data-Z4mnMN1ApG4.en.vtt |
1.77Кб |
| 03. Capturing Text Data-Z4mnMN1ApG4.mp4 |
2.37Мб |
| 03. Capturing Text Data-Z4mnMN1ApG4.zh-CN.vtt |
1.57Кб |
| 03. Classification Problems 1.html |
10.48Кб |
| 03. Classification Problems 1.html |
10.50Кб |
| 03. Clustering Movies.html |
7.23Кб |
| 03. Clustering Movies-g8PKffm8IRY.ar.vtt |
3.96Кб |
| 03. Clustering Movies-g8PKffm8IRY.en.vtt |
2.79Кб |
| 03. Clustering Movies-g8PKffm8IRY.mp4 |
7.31Мб |
| 03. Clustering Movies-g8PKffm8IRY.pt-BR.vtt |
2.82Кб |
| 03. Clustering Movies-g8PKffm8IRY.zh-CN.vtt |
2.53Кб |
| 03. Congratulations!.html |
5.46Кб |
| 03. Corporate Actions Stock Splits.html |
7.53Кб |
| 03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt |
5.13Кб |
| 03. Elevator Pitch-S-nAHPrkQrQ.en.vtt |
3.53Кб |
| 03. Elevator Pitch-S-nAHPrkQrQ.es-MX.vtt |
3.56Кб |
| 03. Elevator Pitch-S-nAHPrkQrQ.ja-JP.vtt |
4.35Кб |
| 03. Elevator Pitch-S-nAHPrkQrQ.mp4 |
20.63Мб |
| 03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt |
3.47Кб |
| 03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt |
3.40Кб |
| 03. Ensemble Methods.html |
8.56Кб |
| 03. Essence of Linear Algebra.html |
6.10Кб |
| 03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.en.vtt |
7.03Кб |
| 03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.mp4 |
8.60Мб |
| 03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.pt-BR.vtt |
7.08Кб |
| 03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.zh-CN.vtt |
6.12Кб |
| 03. Example of a factor.html |
6.48Кб |
| 03. Exemplo de classificação-Dh625piH7Z0.en.vtt |
2.70Кб |
| 03. Exemplo de classificação-Dh625piH7Z0.en.vtt |
2.70Кб |
| 03. Exemplo de classificação-Dh625piH7Z0.ja-JP.vtt |
2.78Кб |
| 03. Exemplo de classificação-Dh625piH7Z0.ja-JP.vtt |
2.78Кб |
| 03. Exemplo de classificação-Dh625piH7Z0.mp4 |
2.07Мб |
| 03. Exemplo de classificação-Dh625piH7Z0.mp4 |
2.07Мб |
| 03. Exemplo de classificação-Dh625piH7Z0.pt-BR.vtt |
2.51Кб |
| 03. Exemplo de classificação-Dh625piH7Z0.pt-BR.vtt |
2.51Кб |
| 03. Exemplo de classificação-Dh625piH7Z0.zh-CN.vtt |
2.36Кб |
| 03. Exemplo de classificação-Dh625piH7Z0.zh-CN.vtt |
2.36Кб |
| 03. Exercise Readability.html |
6.62Кб |
| 03. Exercise Visualize Distributions.html |
12.52Кб |
| 03. Exposure Vector.html |
6.01Кб |
| 03. Factor Returns as Latent Variables.html |
8.27Кб |
| 03. Fair Coin.html |
9.46Кб |
| 03. Fair Coin-9LrlrexpW_o.ar.vtt |
1.09Кб |
| 03. Fair Coin-9LrlrexpW_o.en.vtt |
879б |
| 03. Fair Coin-9LrlrexpW_o.es-ES.vtt |
957б |
| 03. Fair Coin-9LrlrexpW_o.hr.vtt |
957б |
| 03. Fair Coin-9LrlrexpW_o.it.vtt |
967б |
| 03. Fair Coin-9LrlrexpW_o.ja.vtt |
911б |
| 03. Fair Coin-9LrlrexpW_o.mp4 |
5.84Мб |
| 03. Fair Coin-9LrlrexpW_o.pt-BR.vtt |
884б |
| 03. Fair Coin-9LrlrexpW_o.th.vtt |
1.78Кб |
| 03. Fair Coin-9LrlrexpW_o.zh-CN.vtt |
828б |
| 03. Fair Coin-fSKL742j-zk.ar.vtt |
278б |
| 03. Fair Coin-fSKL742j-zk.en.vtt |
190б |
| 03. Fair Coin-fSKL742j-zk.es-ES.vtt |
192б |
| 03. Fair Coin-fSKL742j-zk.hr.vtt |
155б |
| 03. Fair Coin-fSKL742j-zk.it.vtt |
178б |
| 03. Fair Coin-fSKL742j-zk.ja.vtt |
149б |
| 03. Fair Coin-fSKL742j-zk.mp4 |
797.83Кб |
| 03. Fair Coin-fSKL742j-zk.pt-BR.vtt |
173б |
| 03. Fair Coin-fSKL742j-zk.th.vtt |
342б |
| 03. Fair Coin-fSKL742j-zk.zh-CN.vtt |
197б |
| 03. Feature Importance in Scikit-learn.html |
6.67Кб |
| 03. Frame the Problem.html |
6.35Кб |
| 03. GitHub profile important items.html |
8.18Кб |
| 03. GitHub profile important items-prvPVTjVkwQ.ar.vtt |
3.93Кб |
| 03. GitHub profile important items-prvPVTjVkwQ.en.vtt |
2.93Кб |
| 03. GitHub profile important items-prvPVTjVkwQ.ja-JP.vtt |
3.28Кб |
| 03. GitHub profile important items-prvPVTjVkwQ.mp4 |
3.36Мб |
| 03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt |
3.14Кб |
| 03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt |
2.65Кб |
| 03. Grammar.html |
7.96Кб |
| 03. Grammar-Jw3dA7xmoQ4.en.vtt |
727б |
| 03. Grammar-Jw3dA7xmoQ4.mp4 |
2.14Мб |
| 03. Grammar-Jw3dA7xmoQ4.zh-CN.vtt |
617б |
| 03. Heads Tails 2.html |
8.60Кб |
| 03. Heads Tails 2-S87Z5DgPJeo.ar.vtt |
250б |
| 03. Heads Tails 2-S87Z5DgPJeo.en.vtt |
214б |
| 03. Heads Tails 2-S87Z5DgPJeo.es-ES.vtt |
233б |
| 03. Heads Tails 2-S87Z5DgPJeo.ja.vtt |
243б |
| 03. Heads Tails 2-S87Z5DgPJeo.mp4 |
1.44Мб |
| 03. Heads Tails 2-S87Z5DgPJeo.pt-BR.vtt |
249б |
| 03. Heads Tails 2-S87Z5DgPJeo.zh-CN.vtt |
208б |
| 03. Heads Tails 2-vLhdJtXx060.ar.vtt |
339б |
| 03. Heads Tails 2-vLhdJtXx060.en.vtt |
244б |
| 03. Heads Tails 2-vLhdJtXx060.es-ES.vtt |
239б |
| 03. Heads Tails 2-vLhdJtXx060.ja.vtt |
248б |
| 03. Heads Tails 2-vLhdJtXx060.mp4 |
1.60Мб |
| 03. Heads Tails 2-vLhdJtXx060.pt-BR.vtt |
291б |
| 03. Heads Tails 2-vLhdJtXx060.zh-CN.vtt |
227б |
| 03. How ETFs are Used.html |
10.27Кб |
| 03. Indices.html |
9.90Кб |
| 03. Installing Jupyter Notebook.html |
6.53Кб |
| 03. Install Python Using Anaconda.html |
10.62Кб |
| 03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.en.vtt |
3.36Кб |
| 03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.mp4 |
4.74Мб |
| 03. KALMAN Tracking Intro RENDER V2-C73G7vfVNQc.zh-CN.vtt |
2.79Кб |
| 03. Knowledge.html |
7.41Кб |
| 03. Known and Inferred.html |
6.95Кб |
| 03. L1 02 Indices V2-BRv5B78YBGs.en.vtt |
1.77Кб |
| 03. L1 02 Indices V2-BRv5B78YBGs.mp4 |
5.41Мб |
| 03. L1 03 Indices Are Virtual Portfolios V2-oAd_szbBNWc.en.vtt |
1.19Кб |
| 03. L1 03 Indices Are Virtual Portfolios V2-oAd_szbBNWc.mp4 |
3.94Мб |
| 03. L1 03 Programming In Python V4-O1cTNYAjeeg.ar.vtt |
1.70Кб |
| 03. L1 03 Programming In Python V4-O1cTNYAjeeg.en.vtt |
1.17Кб |
| 03. L1 03 Programming In Python V4-O1cTNYAjeeg.mp4 |
4.03Мб |
| 03. L1 03 Programming In Python V4-O1cTNYAjeeg.pt-BR.vtt |
1.39Кб |
| 03. L1 03 Programming In Python V4-O1cTNYAjeeg.zh-CN.vtt |
1.10Кб |
| 03. L1 04 Indices Describe The Market V2-jNzwxE3el7I.en.vtt |
1.07Кб |
| 03. L1 04 Indices Describe The Market V2-jNzwxE3el7I.mp4 |
3.57Мб |
| 03. L2 02 Commodities V2-gc_GMqbCC2Q.en.vtt |
1.32Кб |
| 03. L2 02 Commodities V2-gc_GMqbCC2Q.mp4 |
4.01Мб |
| 03. L2 03 Commodity Futures V3-qvSubjxMGJ0.en.vtt |
2.33Кб |
| 03. L2 03 Commodity Futures V3-qvSubjxMGJ0.mp4 |
4.37Мб |
| 03. L2 04 Commodity ETFs V2-UpgX6INJ6nU.en.vtt |
996б |
| 03. L2 04 Commodity ETFs V2-UpgX6INJ6nU.mp4 |
2.89Мб |
| 03. L2 05 International ETFs V2-OL2p8S-82mY.en.vtt |
1.73Кб |
| 03. L2 05 International ETFs V2-OL2p8S-82mY.mp4 |
38.43Кб |
| 03. L3 03 Portfolio Mean V3-vozlctvug7I.en.vtt |
2.21Кб |
| 03. L3 03 Portfolio Mean V3-vozlctvug7I.mp4 |
2.27Мб |
| 03. L4 03 Optimization With Constraints V3-91WzhG6dti8.en.vtt |
5.03Кб |
| 03. L4 03 Optimization With Constraints V3-91WzhG6dti8.mp4 |
10.43Мб |
| 03. L6 03 HS The Problem V4-4nTtrMyP6zQ.en.vtt |
1.89Кб |
| 03. L6 03 HS The Problem V4-4nTtrMyP6zQ.mp4 |
3.38Мб |
| 03. L7 H4 V1-CHo9WLLAOl0.en.vtt |
1.03Кб |
| 03. L7 H4 V1-CHo9WLLAOl0.mp4 |
5.31Мб |
| 03. Linear Combination and Span.html |
10.31Кб |
| 03. Log Returns.html |
6.22Кб |
| 03. LSTM Basics-gjb68a4XsqE.en.vtt |
5.21Кб |
| 03. LSTM Basics-gjb68a4XsqE.mp4 |
4.03Мб |
| 03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt |
5.06Кб |
| 03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt |
4.59Кб |
| 03. M1L1 Introducing The Instructors 1 V4-l5gG7r-BWYc.en.vtt |
4.12Кб |
| 03. M1L1 Introducing The Instructors 1 V4-l5gG7r-BWYc.mp4 |
9.85Мб |
| 03. M1L3 03 Trading Stocks V3-GHoRtfUrUMc.en.vtt |
7.57Кб |
| 03. M1L3 03 Trading Stocks V3-GHoRtfUrUMc.mp4 |
7.04Мб |
| 03. M1L4 04b Dividends V2-OVZw9tci55w.en.vtt |
3.08Кб |
| 03. M1L4 04b Dividends V2-OVZw9tci55w.mp4 |
3.62Мб |
| 03. M1L4 04 Corporate Actions V5-S60WArbQK7k.en.vtt |
4.86Кб |
| 03. M1L4 04 Corporate Actions V5-S60WArbQK7k.mp4 |
5.14Мб |
| 03. M1L5 03 Log Returns V5-62fZN1QnGjc.en.vtt |
2.78Кб |
| 03. M1L5 03 Log Returns V5-62fZN1QnGjc.mp4 |
5.93Мб |
| 03. M2L1 02 Quant Workflow V3-lZfCCRv2rEE.en.vtt |
1.72Кб |
| 03. M2L1 02 Quant Workflow V3-lZfCCRv2rEE.mp4 |
1.50Мб |
| 03. M2L4 03 Moving Average Models V5-1FkCP_dwxjI.en.vtt |
3.38Кб |
| 03. M2L4 03 Moving Average Models V5-1FkCP_dwxjI.mp4 |
3.76Мб |
| 03. M2L5 03 Annualized Volatility V8-yakh1pjP7uY.mp4 |
6.74Мб |
| 03. M2L6 04 Pairs Trading V3-7lEm_tFXcBk.en.vtt |
5.83Кб |
| 03. M2L6 04 Pairs Trading V3-7lEm_tFXcBk.mp4 |
9.73Мб |
| 03. M4 L1A 03 Example Of A Factor V4-MJrwJDjWlAg.en.vtt |
3.32Кб |
| 03. M4 L1A 03 Example Of A Factor V4-MJrwJDjWlAg.mp4 |
7.41Мб |
| 03. M4 L1B 03 Factor Returns As Latent Variables V3-LpHvJq6XTOQ.en.vtt |
3.66Кб |
| 03. M4 L1B 03 Factor Returns As Latent Variables V3-LpHvJq6XTOQ.mp4 |
14.25Мб |
| 03. M4 L2A 02 Motivation For Risk Factor Model V2-jAQRjxK8PyQ.en.vtt |
2.36Кб |
| 03. M4 L2A 02 Motivation For Risk Factor Model V2-jAQRjxK8PyQ.mp4 |
2.62Мб |
| 03. M4 L2A 14 Time Series Risk Model Specific Variance V2-I0uJLfh_OgQ.en.vtt |
2.24Кб |
| 03. M4 L2A 14 Time Series Risk Model Specific Variance V2-I0uJLfh_OgQ.mp4 |
2.16Мб |
| 03. M4 L3a 02 Alpha Factors Versus Risk Factor Modeling V2-qsahBvhVTkk.en.vtt |
2.25Кб |
| 03. M4 L3a 02 Alpha Factors Versus Risk Factor Modeling V2-qsahBvhVTkk.mp4 |
6.18Мб |
| 03. M4 L3b 02 Overnight Returns Abstract V2-q5xidwa5W8w.en.vtt |
2.36Кб |
| 03. M4 L3b 02 Overnight Returns Abstract V2-q5xidwa5W8w.mp4 |
5.55Мб |
| 03. M4 L4 03 Setting Up The Problem Risk V4-2vcULOlXTzc.en.vtt |
3.55Кб |
| 03. M4 L4 03 Setting Up The Problem Risk V4-2vcULOlXTzc.mp4 |
8.13Мб |
| 03. M5 SC 15 10Ks Walkthrough V1-0ytyZ4LVG6s.en.vtt |
8.23Кб |
| 03. M5 SC 15 10Ks Walkthrough V1-0ytyZ4LVG6s.mp4 |
36.87Мб |
| 03. M7L5 03 Setup Code Exercise V1-xlwlc6l7pXg.en.vtt |
2.89Кб |
| 03. M7L5 03 Setup Code Exercise V1-xlwlc6l7pXg.mp4 |
6.59Мб |
| 03. M8L1 07 Backtest Validity V5-KTlrel9p6Q0.en.vtt |
4.43Кб |
| 03. M8L1 07 Backtest Validity V5-KTlrel9p6Q0.mp4 |
21.52Мб |
| 03. M8l2 02 Barra Data Take2 V1-7WjYfvpLSTM.en.vtt |
4.00Кб |
| 03. M8l2 02 Barra Data Take2 V1-7WjYfvpLSTM.mp4 |
10.46Мб |
| 03. M8l3 04 Exposure Vector V1-CwzT8JST0Zg.en.vtt |
1.19Кб |
| 03. M8l3 04 Exposure Vector V1-CwzT8JST0Zg.mp4 |
1.11Мб |
| 03. Matrix Addition Quiz.html |
8.68Кб |
| 03. Medical Example 2.html |
9.14Кб |
| 03. Medical Example 2-FV_hc3MzS_8.ar.vtt |
3.86Кб |
| 03. Medical Example 2-FV_hc3MzS_8.en.vtt |
2.84Кб |
| 03. Medical Example 2-FV_hc3MzS_8.es-ES.vtt |
2.99Кб |
| 03. Medical Example 2-FV_hc3MzS_8.it.vtt |
3.02Кб |
| 03. Medical Example 2-FV_hc3MzS_8.ja.vtt |
2.73Кб |
| 03. Medical Example 2-FV_hc3MzS_8.mp4 |
22.05Мб |
| 03. Medical Example 2-FV_hc3MzS_8.pt-BR.vtt |
3.16Кб |
| 03. Medical Example 2-FV_hc3MzS_8.th.vtt |
5.40Кб |
| 03. Medical Example 2-FV_hc3MzS_8.zh-CN.vtt |
2.42Кб |
| 03. Medical Example 2-VLLG0rYC7To.ar.vtt |
491б |
| 03. Medical Example 2-VLLG0rYC7To.en.vtt |
373б |
| 03. Medical Example 2-VLLG0rYC7To.es-ES.vtt |
406б |
| 03. Medical Example 2-VLLG0rYC7To.it.vtt |
409б |
| 03. Medical Example 2-VLLG0rYC7To.ja.vtt |
373б |
| 03. Medical Example 2-VLLG0rYC7To.mp4 |
2.49Мб |
| 03. Medical Example 2-VLLG0rYC7To.pt-BR.vtt |
444б |
| 03. Medical Example 2-VLLG0rYC7To.th.vtt |
634б |
| 03. Medical Example 2-VLLG0rYC7To.zh-CN.vtt |
351б |
| 03. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.en.vtt |
1.66Кб |
| 03. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.mp4 |
4.80Мб |
| 03. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.pt-BR.vtt |
1.68Кб |
| 03. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.zh-CN.vtt |
1.53Кб |
| 03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.en.vtt |
1.56Кб |
| 03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.mp4 |
4.19Мб |
| 03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.pt-BR.vtt |
1.46Кб |
| 03. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.zh-CN.vtt |
1.41Кб |
| 03. Motivation for Risk Factor Models.html |
7.88Кб |
| 03. Moving Average Models.html |
6.03Кб |
| 03. Notebook Sentiment RNN.html |
7.22Кб |
| 03. Notebook Workspace.html |
8.62Кб |
| 03. NumPy 0 V1-vyjMs8KFHlE.en.vtt |
4.14Кб |
| 03. NumPy 0 V1-vyjMs8KFHlE.mp4 |
4.35Мб |
| 03. NumPy 0 V1-vyjMs8KFHlE.pt-BR.vtt |
4.71Кб |
| 03. NumPy 0 V1-vyjMs8KFHlE.zh-CN.vtt |
3.68Кб |
| 03. Optimization with Constraints.html |
6.60Кб |
| 03. Outliers Due to Real Events.html |
7.20Кб |
| 03. Overnight Returns Abstract.html |
10.89Кб |
| 03. Pairs Trading.html |
7.89Кб |
| 03. Portfolio Mean.html |
6.75Кб |
| 03. Practice Conditional Statements.html |
10.89Кб |
| 03. Prior And Posterior.html |
11.59Кб |
| 03. Prior And Posterior-GlmS_jox08s.ar.vtt |
509б |
| 03. Prior And Posterior-GlmS_jox08s.en.vtt |
351б |
| 03. Prior And Posterior-GlmS_jox08s.es-ES.vtt |
337б |
| 03. Prior And Posterior-GlmS_jox08s.it.vtt |
338б |
| 03. Prior And Posterior-GlmS_jox08s.ja.vtt |
419б |
| 03. Prior And Posterior-GlmS_jox08s.mp4 |
3.75Мб |
| 03. Prior And Posterior-GlmS_jox08s.pt-BR.vtt |
433б |
| 03. Prior And Posterior-GlmS_jox08s.th.vtt |
768б |
| 03. Prior And Posterior-GlmS_jox08s.zh-CN.vtt |
355б |
| 03. Prior And Posterior-o2Tpws5C2Eg.ar.vtt |
4.20Кб |
| 03. Prior And Posterior-o2Tpws5C2Eg.en.vtt |
3.28Кб |
| 03. Prior And Posterior-o2Tpws5C2Eg.es-ES.vtt |
3.41Кб |
| 03. Prior And Posterior-o2Tpws5C2Eg.it.vtt |
3.47Кб |
| 03. Prior And Posterior-o2Tpws5C2Eg.ja.vtt |
2.86Кб |
| 03. Prior And Posterior-o2Tpws5C2Eg.mp4 |
14.97Мб |
| 03. Prior And Posterior-o2Tpws5C2Eg.pt-BR.vtt |
3.24Кб |
| 03. Prior And Posterior-o2Tpws5C2Eg.th.vtt |
5.61Кб |
| 03. Prior And Posterior-o2Tpws5C2Eg.zh-CN.vtt |
2.99Кб |
| 03. Probability Quiz.html |
11.16Кб |
| 03. Programming in Python.html |
6.29Кб |
| 03. Project 4 Workspace.html |
6.37Кб |
| 03. Project 5 Workspace.html |
6.21Кб |
| 03. Quant Workflow.html |
5.56Кб |
| 03. Quiz Arithmetic Operators.html |
13.23Кб |
| 03. Quiz Defining Functions.html |
10.18Кб |
| 03. Quiz Descriptive vs. Inferential (Udacity Students).html |
11.71Кб |
| 03. Quiz Momentum-based Signals.html |
7.49Кб |
| 03. Recommending Apps 1.html |
11.24Кб |
| 03. Recommending Apps 2.html |
8.61Кб |
| 03. Refresh Linear Algebra.html |
7.24Кб |
| 03. Role in AI.html |
7.96Кб |
| 03. Sampling Distributions Confidence Intervals-gICzUhMVymo.en.vtt |
2.75Кб |
| 03. Sampling Distributions Confidence Intervals-gICzUhMVymo.mp4 |
3.74Мб |
| 03. Sampling Distributions Confidence Intervals-gICzUhMVymo.pt-BR.vtt |
2.57Кб |
| 03. Sampling Distributions Confidence Intervals-gICzUhMVymo.zh-CN.vtt |
2.36Кб |
| 03. ScreenCast Sampling Distributions and Confidence Intervals.html |
8.79Кб |
| 03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.en.vtt |
2.45Кб |
| 03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.mp4 |
5.08Мб |
| 03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.pt-BR.vtt |
2.70Кб |
| 03. Setting Up Hypotheses - Part I-NpZxJg4S6X4.zh-CN.vtt |
2.07Кб |
| 03. Setting Up Hypothesis Tests - Part I.html |
11.15Кб |
| 03. Setting Up the Problem Risk.html |
7.07Кб |
| 03. Setup Code Exercise.html |
6.11Кб |
| 03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt |
1.23Кб |
| 03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4 |
2.62Мб |
| 03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.pt-BR.vtt |
1.21Кб |
| 03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.zh-CN.vtt |
1.12Кб |
| 03. Smart Beta and Portfolio Optimization Workspace.html |
6.38Кб |
| 03. Solution Housing Prices.html |
7.75Кб |
| 03. Solution Housing Prices-uhdTulw9-Nc.en.vtt |
939б |
| 03. Solution Housing Prices-uhdTulw9-Nc.ja-JP.vtt |
1.03Кб |
| 03. Solution Housing Prices-uhdTulw9-Nc.mp4 |
1001.40Кб |
| 03. Solution Housing Prices-uhdTulw9-Nc.pt-BR.vtt |
1.00Кб |
| 03. Structured Languages.html |
9.33Кб |
| 03. Structured Languages-NsmqUIHlk6U.en.vtt |
1.79Кб |
| 03. Structured Languages-NsmqUIHlk6U.mp4 |
5.36Мб |
| 03. Structured Languages-NsmqUIHlk6U.zh-CN.vtt |
1.51Кб |
| 03. Supervised Learning.html |
5.68Кб |
| 03. Terminology.html |
7.06Кб |
| 03. Testing.html |
6.80Кб |
| 03. Testing-EeBZpb-PSac.en.vtt |
2.41Кб |
| 03. Testing-EeBZpb-PSac.mp4 |
2.00Мб |
| 03. Testing-EeBZpb-PSac.pt-BR.vtt |
2.37Кб |
| 03. Testing-EeBZpb-PSac.zh-CN.vtt |
1.99Кб |
| 03. Testing-gmxGRJSKEb0.en-US.vtt |
7.63Кб |
| 03. Testing-gmxGRJSKEb0.mp4 |
5.63Мб |
| 03. Testing-gmxGRJSKEb0.pt-BR.vtt |
7.34Кб |
| 03. Testing-gmxGRJSKEb0.zh-CN.vtt |
6.75Кб |
| 03. Testing your models.html |
12.52Кб |
| 03. TF-IDF.html |
5.96Кб |
| 03. TF-IDF-XZBiBIRcACE.en.vtt |
2.38Кб |
| 03. TF-IDF-XZBiBIRcACE.mp4 |
2.05Мб |
| 03. TF-IDF-XZBiBIRcACE.zh-CN.vtt |
2.07Кб |
| 03. Time Series Model specific variance.html |
7.44Кб |
| 03. Tracking Intro.html |
9.56Кб |
| 03. Trading Stocks.html |
7.33Кб |
| 03. Trading with Momentum Workspace.html |
6.50Кб |
| 03. Types Of Machine Learning Supervised V1-iGTuWwR6kZE.en.vtt |
1.49Кб |
| 03. Types Of Machine Learning Supervised V1-iGTuWwR6kZE.mp4 |
2.64Мб |
| 03. Vectors, what even are they Part 3.html |
6.89Кб |
| 03. Vectors 3-mWV_MpEjz9c.en.vtt |
5.85Кб |
| 03. Vectors 3-mWV_MpEjz9c.mp4 |
6.29Мб |
| 03. Vectors 3-mWV_MpEjz9c.pt-BR.vtt |
5.43Кб |
| 03. Vectors 3-mWV_MpEjz9c.zh-CN.vtt |
4.96Кб |
| 03. Video Weekdays vs. Weekends What is the Difference.html |
9.84Кб |
| 03. Video Welcome!.html |
9.12Кб |
| 03. What Is Coming Up-oDJsnQcCPr4.ar.vtt |
1.31Кб |
| 03. What Is Coming Up-oDJsnQcCPr4.en.vtt |
963б |
| 03. What Is Coming Up-oDJsnQcCPr4.mp4 |
2.19Мб |
| 03. What Is Coming Up-oDJsnQcCPr4.pt-BR.vtt |
1.07Кб |
| 03. What Is Coming Up-oDJsnQcCPr4.zh-CN.vtt |
913б |
| 03. What is the Difference-I3tQvrCgNrQ.ar.vtt |
1.83Кб |
| 03. What is the Difference-I3tQvrCgNrQ.en.vtt |
1.31Кб |
| 03. What is the Difference-I3tQvrCgNrQ.mp4 |
1.27Мб |
| 03. What is the Difference-I3tQvrCgNrQ.pt-BR.vtt |
1.46Кб |
| 03. What is the Difference-I3tQvrCgNrQ.zh-CN.vtt |
1.09Кб |
| 03. Why Use an Elevator Pitch.html |
7.38Кб |
| 03. Why Use NumPy.html |
8.99Кб |
| 03. Why Use pandas.html |
7.99Кб |
| 03. Word2Vec Notebook.html |
7.40Кб |
| 03. Your Instructors.html |
9.17Кб |
| 03. Your Instructors.html |
13.83Кб |
| 04. [For Windows] Configuring Git Bash to Run Python.html |
15.28Кб |
| 04. 04. Computer Vision Applications-aFJKp2NltCY.en.vtt |
2.71Кб |
| 04. 04. Computer Vision Applications-aFJKp2NltCY.mp4 |
11.19Мб |
| 04. 04. Computer Vision Applications-aFJKp2NltCY.zh-CN.vtt |
2.41Кб |
| 04. 29 Number Summary-gzUN5zKLHjQ.ar.vtt |
4.65Кб |
| 04. 29 Number Summary-gzUN5zKLHjQ.en.vtt |
3.56Кб |
| 04. 29 Number Summary-gzUN5zKLHjQ.mp4 |
4.36Мб |
| 04. 29 Number Summary-gzUN5zKLHjQ.pt-BR.vtt |
3.90Кб |
| 04. 29 Number Summary-gzUN5zKLHjQ.zh-CN.vtt |
2.93Кб |
| 04. 3 Data PreProcessing V1-Xw1MWmql7no.en.vtt |
6.93Кб |
| 04. 3 Data PreProcessing V1-Xw1MWmql7no.mp4 |
10.09Мб |
| 04. 3 Data PreProcessing V1-Xw1MWmql7no.zh-CN.vtt |
5.68Кб |
| 04. 5 Flips 1 Head.html |
8.62Кб |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.ar.vtt |
364б |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.en.vtt |
256б |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.es-ES.vtt |
281б |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.ja.vtt |
254б |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.mp4 |
1.59Мб |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.pt-BR.vtt |
356б |
| 04. 5 Flips 1 Head-4LVRNqpdxsw.zh-CN.vtt |
239б |
| 04. 5 Flips 1 Head-VEfOdACY9rA.ar.vtt |
222б |
| 04. 5 Flips 1 Head-VEfOdACY9rA.en.vtt |
146б |
| 04. 5 Flips 1 Head-VEfOdACY9rA.es-ES.vtt |
160б |
| 04. 5 Flips 1 Head-VEfOdACY9rA.ja.vtt |
180б |
| 04. 5 Flips 1 Head-VEfOdACY9rA.mp4 |
1.49Мб |
| 04. 5 Flips 1 Head-VEfOdACY9rA.pt-BR.vtt |
223б |
| 04. 5 Flips 1 Head-VEfOdACY9rA.zh-CN.vtt |
151б |
| 04. Admissions 3.html |
9.08Кб |
| 04. Admissions 3-iKTYAsZLbhc.ar.vtt |
738б |
| 04. Admissions 3-iKTYAsZLbhc.en.vtt |
622б |
| 04. Admissions 3-iKTYAsZLbhc.es-ES.vtt |
671б |
| 04. Admissions 3-iKTYAsZLbhc.hr.vtt |
662б |
| 04. Admissions 3-iKTYAsZLbhc.it.vtt |
671б |
| 04. Admissions 3-iKTYAsZLbhc.ja.vtt |
625б |
| 04. Admissions 3-iKTYAsZLbhc.mp4 |
1.57Мб |
| 04. Admissions 3-iKTYAsZLbhc.pt-BR.vtt |
692б |
| 04. Admissions 3-iKTYAsZLbhc.zh-CN.vtt |
556б |
| 04. Admissions 3-iKTYAsZLbhc.zh-Hans.vtt |
579б |
| 04. Admissions 3-rDw0TIpwJ-c.ar.vtt |
108б |
| 04. Admissions 3-rDw0TIpwJ-c.en.vtt |
95б |
| 04. Admissions 3-rDw0TIpwJ-c.es-ES.vtt |
104б |
| 04. Admissions 3-rDw0TIpwJ-c.hr.vtt |
95б |
| 04. Admissions 3-rDw0TIpwJ-c.it.vtt |
94б |
| 04. Admissions 3-rDw0TIpwJ-c.ja.vtt |
116б |
| 04. Admissions 3-rDw0TIpwJ-c.mp4 |
467.38Кб |
| 04. Admissions 3-rDw0TIpwJ-c.pt-BR.vtt |
99б |
| 04. Admissions 3-rDw0TIpwJ-c.zh-CN.vtt |
99б |
| 04. Admissions 3-rDw0TIpwJ-c.zh-Hans.vtt |
101б |
| 04. Advanced Time Series Models.html |
9.17Кб |
| 04. AIT M5L5 04 BagofWords V3-8t2bf9kAVHE.en.vtt |
2.11Кб |
| 04. AIT M5L5 04 BagofWords V3-8t2bf9kAVHE.mp4 |
10.35Мб |
| 04. Answer Tracking Intro.html |
8.95Кб |
| 04. Architecture of LSTM.html |
7.38Кб |
| 04. Backtest Overfitting.html |
6.54Кб |
| 04. Bag-of-Words.html |
5.99Кб |
| 04. Bases as Languages.html |
7.08Кб |
| 04. Business Example.html |
7.90Кб |
| 04. Business Example-Wzz7omSDfEk.en.vtt |
1.99Кб |
| 04. Business Example-Wzz7omSDfEk.mp4 |
4.18Мб |
| 04. Business Example-Wzz7omSDfEk.pt-BR.vtt |
2.22Кб |
| 04. Business Example-Wzz7omSDfEk.zh-CN.vtt |
1.76Кб |
| 04. Classification Problems 2.html |
9.24Кб |
| 04. Classification Problems 2.html |
9.26Кб |
| 04. Computer Vision Applications.html |
10.34Кб |
| 04. Confusion Matrix.html |
10.17Кб |
| 04. Confusion Matrix-Question 1-9GLNjmMUB_4.en.vtt |
5.71Кб |
| 04. Confusion Matrix-Question 1-9GLNjmMUB_4.en-US.vtt |
5.52Кб |
| 04. Confusion Matrix-Question 1-9GLNjmMUB_4.mp4 |
5.04Мб |
| 04. Confusion Matrix-Question 1-9GLNjmMUB_4.pt-BR.vtt |
4.76Кб |
| 04. Confusion Matrix-Question 1-9GLNjmMUB_4.zh-CN.vtt |
4.96Кб |
| 04. Course Overview.html |
7.01Кб |
| 04. Create Your Elevator Pitch.html |
8.52Кб |
| 04. Creating and Saving NumPy ndarrays.html |
18.75Кб |
| 04. Creating pandas Series.html |
10.93Кб |
| 04. Data Pre-Processing.html |
6.71Кб |
| 04. Definition of key words.html |
12.34Кб |
| 04. Eddy Thomas 02 AI And Finanace V2-8Hna_hR_N7c.mp4 |
37.01Мб |
| 04. Elevator Pitch-0QtgTG49E9I.ar.vtt |
2.28Кб |
| 04. Elevator Pitch-0QtgTG49E9I.en.vtt |
2.06Кб |
| 04. Elevator Pitch-0QtgTG49E9I.es-MX.vtt |
1.99Кб |
| 04. Elevator Pitch-0QtgTG49E9I.ja-JP.vtt |
2.45Кб |
| 04. Elevator Pitch-0QtgTG49E9I.mp4 |
9.98Мб |
| 04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt |
1.94Кб |
| 04. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt |
1.99Кб |
| 04. Feature Eng Exercise.html |
7.13Кб |
| 04. Finding Pairs to Trade.html |
6.60Кб |
| 04. Fitting A Line-gkdoknEEcaI.en.vtt |
1.41Кб |
| 04. Fitting A Line-gkdoknEEcaI.mp4 |
1.12Мб |
| 04. Fitting A Line-gkdoknEEcaI.pt-BR.vtt |
1.42Кб |
| 04. Fitting a Line Through Data.html |
7.58Кб |
| 04. Flavors of Trading.html |
5.62Кб |
| 04. Good GitHub repository.html |
7.87Кб |
| 04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt |
2.56Кб |
| 04. Good GitHub repository-qBi8Q1EJdfQ.en.vtt |
1.92Кб |
| 04. Good GitHub repository-qBi8Q1EJdfQ.ja-JP.vtt |
2.21Кб |
| 04. Good GitHub repository-qBi8Q1EJdfQ.mp4 |
3.72Мб |
| 04. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt |
2.07Кб |
| 04. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt |
1.92Кб |
| 04. Grammar.html |
8.04Кб |
| 04. Grammar-Jw3dA7xmoQ4.en.vtt |
727б |
| 04. Grammar-Jw3dA7xmoQ4.mp4 |
2.14Мб |
| 04. Grammar-Jw3dA7xmoQ4.zh-CN.vtt |
617б |
| 04. Guess the Person Now.html |
7.37Кб |
| 04. Hedging.html |
6.74Кб |
| 04. Historical Variance Exercise.html |
7.91Кб |
| 04. How Many Clusters.html |
8.49Кб |
| 04. How Many Clusters-8Ygq5dRV0Kk.ar.vtt |
521б |
| 04. How Many Clusters-8Ygq5dRV0Kk.en.vtt |
458б |
| 04. How Many Clusters-8Ygq5dRV0Kk.mp4 |
1.58Мб |
| 04. How Many Clusters-8Ygq5dRV0Kk.pt-BR.vtt |
439б |
| 04. How Many Clusters-8Ygq5dRV0Kk.zh-CN.vtt |
385б |
| 04. How Many Clusters-R6oIvdBtsZw.ar.vtt |
999б |
| 04. How Many Clusters-R6oIvdBtsZw.en.vtt |
768б |
| 04. How Many Clusters-R6oIvdBtsZw.mp4 |
2.79Мб |
| 04. How Many Clusters-R6oIvdBtsZw.pt-BR.vtt |
773б |
| 04. How Many Clusters-R6oIvdBtsZw.zh-CN.vtt |
744б |
| 04. Insights from a Quant - AI and Finance.html |
5.67Кб |
| 04. Interview with Gordon Ritter.html |
5.86Кб |
| 04. L1 02 Course Overview V4-vFxXSIV5cHM.ar.vtt |
3.43Кб |
| 04. L1 02 Course Overview V4-vFxXSIV5cHM.en.vtt |
2.45Кб |
| 04. L1 02 Course Overview V4-vFxXSIV5cHM.mp4 |
8.37Мб |
| 04. L1 02 Course Overview V4-vFxXSIV5cHM.pt-BR.vtt |
2.88Кб |
| 04. L1 02 Course Overview V4-vFxXSIV5cHM.zh-CN.vtt |
2.18Кб |
| 04. L1 05 Market Cap V2-PE0UgUc0f0U.en.vtt |
1.04Кб |
| 04. L1 05 Market Cap V2-PE0UgUc0f0U.mp4 |
3.69Мб |
| 04. L2 06 Hedging V3-4k1bdohhawI.en.vtt |
1.85Кб |
| 04. L2 06 Hedging V3-4k1bdohhawI.mp4 |
3.57Мб |
| 04. L3 04 Portfolio Variance V2-LlxRypakop4.en.vtt |
4.72Кб |
| 04. L3 04 Portfolio Variance V2-LlxRypakop4.mp4 |
5.39Мб |
| 04. L6 05 HS Subsample Rows V4-IAl8kotkzYg.en.vtt |
1001б |
| 04. L6 05 HS Subsample Rows V4-IAl8kotkzYg.mp4 |
2.70Мб |
| 04. Launching the notebook server.html |
11.45Кб |
| 04. Linear Combination -Quiz 1.html |
8.91Кб |
| 04. Liquidity.html |
7.28Кб |
| 04. Loaded Coin 1.html |
9.76Кб |
| 04. Loaded Coin 1-sNvQeSikRFY.ar.vtt |
265б |
| 04. Loaded Coin 1-sNvQeSikRFY.en.vtt |
217б |
| 04. Loaded Coin 1-sNvQeSikRFY.es-ES.vtt |
210б |
| 04. Loaded Coin 1-sNvQeSikRFY.hr.vtt |
213б |
| 04. Loaded Coin 1-sNvQeSikRFY.it.vtt |
212б |
| 04. Loaded Coin 1-sNvQeSikRFY.ja.vtt |
201б |
| 04. Loaded Coin 1-sNvQeSikRFY.mp4 |
1.24Мб |
| 04. Loaded Coin 1-sNvQeSikRFY.pt-BR.vtt |
201б |
| 04. Loaded Coin 1-sNvQeSikRFY.th.vtt |
252б |
| 04. Loaded Coin 1-sNvQeSikRFY.zh-CN.vtt |
192б |
| 04. Loaded Coin 1-T0EjWSjLGjQ.ar.vtt |
591б |
| 04. Loaded Coin 1-T0EjWSjLGjQ.en.vtt |
425б |
| 04. Loaded Coin 1-T0EjWSjLGjQ.es-ES.vtt |
417б |
| 04. Loaded Coin 1-T0EjWSjLGjQ.hr.vtt |
384б |
| 04. Loaded Coin 1-T0EjWSjLGjQ.it.vtt |
444б |
| 04. Loaded Coin 1-T0EjWSjLGjQ.ja.vtt |
415б |
| 04. Loaded Coin 1-T0EjWSjLGjQ.mp4 |
2.63Мб |
| 04. Loaded Coin 1-T0EjWSjLGjQ.pt-BR.vtt |
442б |
| 04. Loaded Coin 1-T0EjWSjLGjQ.th.vtt |
578б |
| 04. Loaded Coin 1-T0EjWSjLGjQ.zh-CN.vtt |
380б |
| 04. Long and Short Positions.html |
7.54Кб |
| 04. LSTM Architecture-ycwthhdx8ws.en.vtt |
1.49Кб |
| 04. LSTM Architecture-ycwthhdx8ws.mp4 |
1.07Мб |
| 04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt |
1.46Кб |
| 04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt |
1.34Кб |
| 04. M1L1 05 Program Overview V1-Ci0j_UwLlQQ.en.vtt |
3.79Кб |
| 04. M1L1 05 Program Overview V1-Ci0j_UwLlQQ.mp4 |
9.73Мб |
| 04. M1L3 04 Liquidity V4-KNVQeH6Y_YA.en.vtt |
2.53Кб |
| 04. M1L3 04 Liquidity V4-KNVQeH6Y_YA.mp4 |
2.25Мб |
| 04. M1L4 06 Technical Indicators V6-jo740Kq3YN4.en.vtt |
6.68Кб |
| 04. M1L4 06 Technical Indicators V6-jo740Kq3YN4.mp4 |
6.89Мб |
| 04. M1L6 04 Long And Short Positions V3-TCOFgM-hxkQ.en.vtt |
3.76Кб |
| 04. M1L6 04 Long And Short Positions V3-TCOFgM-hxkQ.mp4 |
2.87Мб |
| 04. M2L1 03 Flavors Of Trading Strategies V4-uCCx8I9u_Nk.en.vtt |
3.98Кб |
| 04. M2L1 03 Flavors Of Trading Strategies V4-uCCx8I9u_Nk.mp4 |
5.38Мб |
| 04. M2L2 03 Outliers Signals And Strategies V5-zyVgpsRy-mU.en.vtt |
6.11Кб |
| 04. M2L2 03 Outliers Signals And Strategies V5-zyVgpsRy-mU.mp4 |
10.51Мб |
| 04. M2L3 04 Parameters Of A Distribution V3--akdmiLDny4.en.vtt |
2.32Кб |
| 04. M2L3 04 Parameters Of A Distribution V3--akdmiLDny4.mp4 |
6.25Мб |
| 04. M2L4 05 Advanced Time Series Models V5-cj1RCBTDog8.en.vtt |
7.30Кб |
| 04. M2L4 05 Advanced Time Series Models V5-cj1RCBTDog8.mp4 |
16.63Мб |
| 04. M2L6 07 Finding Pairs To Trade V4-6hQtoElcnGM.en.vtt |
2.71Кб |
| 04. M2L6 07 Finding Pairs To Trade V4-6hQtoElcnGM.mp4 |
7.82Мб |
| 04. M4 03 Coming In Term II V1-2jF5J8MIdqc.en.vtt |
1.68Кб |
| 04. M4 03 Coming In Term II V1-2jF5J8MIdqc.mp4 |
4.33Мб |
| 04. M4 L2A 15 Time Series Risk Model V2-Lz3RMLmov8o.en.vtt |
1.35Кб |
| 04. M4 L2A 15 Time Series Risk Model V2-Lz3RMLmov8o.mp4 |
1.34Мб |
| 04. M4 L2b 04 Bases As Languages V3-yEL0-AE3mjo.en.vtt |
4.37Кб |
| 04. M4 L2b 04 Bases As Languages V3-yEL0-AE3mjo.mp4 |
5.30Мб |
| 04. M4 L3a 03 Definition Of Key Words V4-zySdIQTPTGo.en.vtt |
2.86Кб |
| 04. M4 L3a 03 Definition Of Key Words V4-zySdIQTPTGo.mp4 |
7.80Мб |
| 04. M4 L3b 03 Overnight Returns Possible Alpha Factors V2-QBCDr9q2rLo.en.vtt |
4.14Кб |
| 04. M4 L3b 03 Overnight Returns Possible Alpha Factors V2-QBCDr9q2rLo.mp4 |
5.18Мб |
| 04. M4 L4 04 Regularization V4-fq-CanyDHuw.en.vtt |
3.12Кб |
| 04. M4 L4 04 Regularization V4-fq-CanyDHuw.mp4 |
4.31Мб |
| 04. M8L1 08 Backtest Overfitting V2-MnWHGIiqjns.en.vtt |
3.02Кб |
| 04. M8L1 08 Backtest Overfitting V2-MnWHGIiqjns.mp4 |
13.63Мб |
| 04. M8l2 04 Time Offset Take2 V1-TYYV3MnhCP0.en.vtt |
4.26Кб |
| 04. M8l2 04 Time Offset Take2 V1-TYYV3MnhCP0.mp4 |
3.60Мб |
| 04. M8l3 05 Variance Decomposition V3-2V80v8sQl90.en.vtt |
3.25Кб |
| 04. M8l3 05 Variance Decomposition V3-2V80v8sQl90.mp4 |
2.87Мб |
| 04. Market Cap.html |
7.81Кб |
| 04. Medical Example 3.html |
9.03Кб |
| 04. Medical Example 3-Iz4ViIg9ZlQ.ar.vtt |
1.21Кб |
| 04. Medical Example 3-Iz4ViIg9ZlQ.en.vtt |
953б |
| 04. Medical Example 3-Iz4ViIg9ZlQ.es-ES.vtt |
1003б |
| 04. Medical Example 3-Iz4ViIg9ZlQ.it.vtt |
1010б |
| 04. Medical Example 3-Iz4ViIg9ZlQ.ja.vtt |
1.05Кб |
| 04. Medical Example 3-Iz4ViIg9ZlQ.mp4 |
6.61Мб |
| 04. Medical Example 3-Iz4ViIg9ZlQ.pt-BR.vtt |
1.16Кб |
| 04. Medical Example 3-Iz4ViIg9ZlQ.th.vtt |
1.81Кб |
| 04. Medical Example 3-Iz4ViIg9ZlQ.zh-CN.vtt |
785б |
| 04. Medical Example 3-Rf6WfB_1EJQ.ar.vtt |
336б |
| 04. Medical Example 3-Rf6WfB_1EJQ.en.vtt |
279б |
| 04. Medical Example 3-Rf6WfB_1EJQ.es-ES.vtt |
301б |
| 04. Medical Example 3-Rf6WfB_1EJQ.it.vtt |
289б |
| 04. Medical Example 3-Rf6WfB_1EJQ.ja.vtt |
262б |
| 04. Medical Example 3-Rf6WfB_1EJQ.mp4 |
2.10Мб |
| 04. Medical Example 3-Rf6WfB_1EJQ.pt-BR.vtt |
410б |
| 04. Medical Example 3-Rf6WfB_1EJQ.zh-CN.vtt |
212б |
| 04. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.en.vtt |
1.56Кб |
| 04. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.mp4 |
4.19Мб |
| 04. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.pt-BR.vtt |
1.46Кб |
| 04. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.zh-CN.vtt |
1.41Кб |
| 04. MLND SL DT 13 Random Forests MAIN V2-4xhjf6s_Pr0.en.vtt |
2.34Кб |
| 04. MLND SL DT 13 Random Forests MAIN V2-4xhjf6s_Pr0.mp4 |
3.17Мб |
| 04. MV 10 Transition From Project 02 Int V1-DYjOsL3VYfY.en.vtt |
3.22Кб |
| 04. MV 10 Transition From Project 02 Int V1-DYjOsL3VYfY.mp4 |
8.51Мб |
| 04. NewsRoom Liz V2-Os881EhJv68.mp4 |
56.20Мб |
| 04. Normalization.html |
7.26Кб |
| 04. Normalization-eOV2UUY8vtM.en.vtt |
3.24Кб |
| 04. Normalization-eOV2UUY8vtM.mp4 |
3.13Мб |
| 04. Normalization-eOV2UUY8vtM.pt-BR.vtt |
3.37Кб |
| 04. Normalization-eOV2UUY8vtM.zh-CN.vtt |
2.88Кб |
| 04. Normalizing 1.html |
11.16Кб |
| 04. Normalizing 1-5Tbd3_a5Vug.ar.vtt |
562б |
| 04. Normalizing 1-5Tbd3_a5Vug.en.vtt |
424б |
| 04. Normalizing 1-5Tbd3_a5Vug.es-ES.vtt |
455б |
| 04. Normalizing 1-5Tbd3_a5Vug.it.vtt |
452б |
| 04. Normalizing 1-5Tbd3_a5Vug.ja.vtt |
374б |
| 04. Normalizing 1-5Tbd3_a5Vug.mp4 |
2.92Мб |
| 04. Normalizing 1-5Tbd3_a5Vug.pt-BR.vtt |
495б |
| 04. Normalizing 1-5Tbd3_a5Vug.th.vtt |
653б |
| 04. Normalizing 1-5Tbd3_a5Vug.zh-CN.vtt |
369б |
| 04. Normalizing 1-9SbUxcyDTaQ.ar.vtt |
459б |
| 04. Normalizing 1-9SbUxcyDTaQ.en.vtt |
336б |
| 04. Normalizing 1-9SbUxcyDTaQ.es-ES.vtt |
348б |
| 04. Normalizing 1-9SbUxcyDTaQ.it.vtt |
372б |
| 04. Normalizing 1-9SbUxcyDTaQ.ja.vtt |
353б |
| 04. Normalizing 1-9SbUxcyDTaQ.mp4 |
2.23Мб |
| 04. Normalizing 1-9SbUxcyDTaQ.pt-BR.vtt |
418б |
| 04. Normalizing 1-9SbUxcyDTaQ.th.vtt |
700б |
| 04. Normalizing 1-9SbUxcyDTaQ.zh-CN.vtt |
303б |
| 04. Notebook + Quiz Building Confidence Intervals.html |
16.99Кб |
| 04. NumPy 1 V1-EOHW29kDg7w.en.vtt |
7.06Кб |
| 04. NumPy 1 V1-EOHW29kDg7w.mp4 |
7.53Мб |
| 04. NumPy 1 V1-EOHW29kDg7w.pt-BR.vtt |
8.09Кб |
| 04. NumPy 1 V1-EOHW29kDg7w.zh-CN.vtt |
6.31Кб |
| 04. One-Hot Encoding.html |
6.14Кб |
| 04. One-Hot Encoding-a0j1CDXFYZI.en.vtt |
1.40Кб |
| 04. One-Hot Encoding-a0j1CDXFYZI.mp4 |
1.08Мб |
| 04. One-Hot Encoding-a0j1CDXFYZI.pt-BR.vtt |
1.59Кб |
| 04. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt |
1.21Кб |
| 04. Outliers, Signals and Strategies.html |
6.45Кб |
| 04. Outro What's next.html |
5.64Кб |
| 04. Overfitting and Underfitting.html |
6.95Кб |
| 04. Overnight Returns Possible Alpha Factors.html |
8.94Кб |
| 04. Pandas 1 V1-iXnYN8cnhzs.en.vtt |
3.40Кб |
| 04. Pandas 1 V1-iXnYN8cnhzs.mp4 |
3.80Мб |
| 04. Pandas 1 V1-iXnYN8cnhzs.pt-BR.vtt |
3.77Кб |
| 04. Pandas 1 V1-iXnYN8cnhzs.zh-CN.vtt |
3.07Кб |
| 04. Parameters of a Distribution.html |
7.71Кб |
| 04. Perturbations on Columns.html |
7.75Кб |
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt |
2.19Кб |
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt |
1.94Кб |
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt |
1.43Кб |
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.ja-JP.vtt |
2.36Кб |
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 |
8.93Мб |
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt |
1.40Кб |
| 04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt |
1.74Кб |
| 04. Portfolio Variance.html |
8.17Кб |
| 04. Pre-Notebook Word2Vec, SkipGram.html |
9.24Кб |
| 04. Program Overview.html |
7.34Кб |
| 04. PyTorch V2 Part 1 V1-6Z7WntXays8.en.vtt |
9.75Кб |
| 04. PyTorch V2 Part 1 V1-6Z7WntXays8.mp4 |
12.32Мб |
| 04. PyTorch V2 Part 1 V1-6Z7WntXays8.zh-CN.vtt |
7.72Кб |
| 04. Quadratics.html |
8.99Кб |
| 04. Quadratics-1R44jvxIPJY.ar.vtt |
1.68Кб |
| 04. Quadratics-1R44jvxIPJY.en.vtt |
1.37Кб |
| 04. Quadratics-1R44jvxIPJY.es-ES.vtt |
1.35Кб |
| 04. Quadratics-1R44jvxIPJY.ja.vtt |
1.18Кб |
| 04. Quadratics-1R44jvxIPJY.mp4 |
7.29Мб |
| 04. Quadratics-1R44jvxIPJY.pt-BR.vtt |
1.35Кб |
| 04. Quadratics-1R44jvxIPJY.zh-CN.vtt |
1.07Кб |
| 04. Quadratics-GzRNoodJZxk.ar.vtt |
802б |
| 04. Quadratics-GzRNoodJZxk.en.vtt |
571б |
| 04. Quadratics-GzRNoodJZxk.es-ES.vtt |
565б |
| 04. Quadratics-GzRNoodJZxk.ja.vtt |
483б |
| 04. Quadratics-GzRNoodJZxk.mp4 |
863.99Кб |
| 04. Quadratics-GzRNoodJZxk.pt-BR.vtt |
593б |
| 04. Quadratics-GzRNoodJZxk.zh-CN.vtt |
460б |
| 04. Quiz 10-Ks and EDGAR.html |
10.23Кб |
| 04. Quiz Descriptive vs. Inferential (Bagels).html |
17.78Кб |
| 04. Quiz factor values and weights.html |
7.61Кб |
| 04. Quiz Log Returns and Compounding.html |
17.21Кб |
| 04. Quiz Stock Data.html |
5.91Кб |
| 04. Recommending Apps 2.html |
9.26Кб |
| 04. Recommending Apps 3.html |
7.36Кб |
| 04. Recommending Apps-nEvW8B1HNq4.en.vtt |
2.78Кб |
| 04. Recommending Apps-nEvW8B1HNq4.mp4 |
6.32Мб |
| 04. Recommending Apps-nEvW8B1HNq4.pt-BR.vtt |
2.51Кб |
| 04. Recommending Apps-nEvW8B1HNq4.zh-CN.vtt |
2.57Кб |
| 04. Regularization.html |
7.00Кб |
| 04. Scalar Multiplication of Matrix and Quiz.html |
9.82Кб |
| 04. Scale of Volatility.html |
7.26Кб |
| 04. Setting Up Hypotheses.html |
11.75Кб |
| 04. Simple Solution.html |
5.84Кб |
| 04. Simulating Many Coin Flips.html |
7.48Кб |
| 04. Simulating Many Coin Flips-AqpWQIj2V5Y.ar.vtt |
3.98Кб |
| 04. Simulating Many Coin Flips-AqpWQIj2V5Y.en.vtt |
3.23Кб |
| 04. Simulating Many Coin Flips-AqpWQIj2V5Y.mp4 |
3.41Мб |
| 04. Simulating Many Coin Flips-AqpWQIj2V5Y.pt-BR.vtt |
3.31Кб |
| 04. Simulating Many Coin Flips-AqpWQIj2V5Y.zh-CN.vtt |
3.01Кб |
| 04. Single layer neural networks.html |
8.75Кб |
| 04. sklearn Exercise.html |
7.90Кб |
| 04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.en.vtt |
7.22Кб |
| 04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 |
21.06Мб |
| 04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.pt-BR.vtt |
7.27Кб |
| 04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.zh-CN.vtt |
6.05Кб |
| 04. Solution Arithmetic Operators.html |
10.03Кб |
| 04. Solution Conditional Statements.html |
10.72Кб |
| 04. Solution Defining Functions.html |
8.59Кб |
| 04. Structure of this lesson.html |
7.62Кб |
| 04. Student Hub.html |
7.45Кб |
| 04. Technical Indicators.html |
7.35Кб |
| 04. Terminology.html |
9.02Кб |
| 04. time offsets.html |
6.98Кб |
| 04. Time Series Risk Model.html |
6.81Кб |
| 04. Two-Asset Portfolio Optimization.html |
10.71Кб |
| 04. Types of Machine Learning - Unsupervised Reinforcement-yg4A99NMzAQ.en.vtt |
1.30Кб |
| 04. Types of Machine Learning - Unsupervised Reinforcement-yg4A99NMzAQ.mp4 |
1.92Мб |
| 04. Types of Machine Learning - Unsupervised Reinforcement-yg4A99NMzAQ.pt-BR.vtt |
1.52Кб |
| 04. Underfitting And Overfitting-xj4PlXMsN-Y.en.vtt |
7.49Кб |
| 04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4 |
6.42Мб |
| 04. Underfitting And Overfitting-xj4PlXMsN-Y.pt-BR.vtt |
8.15Кб |
| 04. Underfitting And Overfitting-xj4PlXMsN-Y.zh-CN.vtt |
6.54Кб |
| 04. Unstructured Text.html |
8.51Кб |
| 04. Unstructured Text-OmwSdaec5vU.en.vtt |
1.74Кб |
| 04. Unstructured Text-OmwSdaec5vU.mp4 |
4.63Мб |
| 04. Unstructured Text-OmwSdaec5vU.zh-CN.vtt |
1.55Кб |
| 04. Unsupervised and Reinforcement Learning.html |
5.92Кб |
| 04. Variance Decomposition.html |
6.05Кб |
| 04. Vectors- Mathematical definition .html |
10.18Кб |
| 04. Video Introduction to Five Number Summary.html |
11.19Кб |
| 04. Video What is Data Why is it important.html |
8.99Кб |
| 04. What is Data-ldTDAjrVsA8.ar.vtt |
1.91Кб |
| 04. What is Data-ldTDAjrVsA8.en.vtt |
1.28Кб |
| 04. What is Data-ldTDAjrVsA8.mp4 |
2.81Мб |
| 04. What is Data-ldTDAjrVsA8.pt-BR.vtt |
1.45Кб |
| 04. What is Data-ldTDAjrVsA8.zh-CN.vtt |
1.15Кб |
| 04. Wrapping Up Module 2.html |
5.94Кб |
| 04. 分类问题 2 -46PywnGa_cQ.en.vtt |
1.76Кб |
| 04. 分类问题 2 -46PywnGa_cQ.en.vtt |
1.76Кб |
| 04. 分类问题 2 -46PywnGa_cQ.ja-JP.vtt |
1.79Кб |
| 04. 分类问题 2 -46PywnGa_cQ.ja-JP.vtt |
1.79Кб |
| 04. 分类问题 2 -46PywnGa_cQ.mp4 |
1.62Мб |
| 04. 分类问题 2 -46PywnGa_cQ.mp4 |
1.62Мб |
| 04. 分类问题 2 -46PywnGa_cQ.pt-BR.vtt |
1.60Кб |
| 04. 分类问题 2 -46PywnGa_cQ.pt-BR.vtt |
1.60Кб |
| 04. 分类问题 2 -46PywnGa_cQ.zh-CN.vtt |
1.65Кб |
| 04. 分类问题 2 -46PywnGa_cQ.zh-CN.vtt |
1.65Кб |
| 05. 05. Emotional Intelligence-D_LzJsJH5qk.en.vtt |
2.30Кб |
| 05. 05. Emotional Intelligence-D_LzJsJH5qk.mp4 |
10.88Мб |
| 05. 05. Emotional Intelligence-D_LzJsJH5qk.zh-CN.vtt |
2.02Кб |
| 05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.en.vtt |
4.78Кб |
| 05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.mp4 |
6.45Мб |
| 05. 4 EncodingWords Sol V1-4RYyn3zv1Hg.zh-CN.vtt |
4.12Кб |
| 05. 5 Flips 2 Heads.html |
8.63Кб |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.ar.vtt |
1.39Кб |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.en.vtt |
1.09Кб |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.es-ES.vtt |
1.09Кб |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.ja.vtt |
1.06Кб |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.mp4 |
7.52Мб |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.pt-BR.vtt |
1.21Кб |
| 05. 5 Flips 2 Heads-69je8wHh2mQ.zh-CN.vtt |
898б |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.ar.vtt |
319б |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.en.vtt |
238б |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.es-ES.vtt |
242б |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.ja.vtt |
247б |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.mp4 |
1.90Мб |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.pt-BR.vtt |
260б |
| 05. 5 Flips 2 Heads-lhhUjxnbad8.zh-CN.vtt |
183б |
| 05. Accessing and Deleting Elements in pandas Series.html |
14.47Кб |
| 05. Admissions 4.html |
8.85Кб |
| 05. Admissions 4-GD6cQhkoqS4.ar.vtt |
90б |
| 05. Admissions 4-GD6cQhkoqS4.en.vtt |
86б |
| 05. Admissions 4-GD6cQhkoqS4.hr.vtt |
86б |
| 05. Admissions 4-GD6cQhkoqS4.it.vtt |
89б |
| 05. Admissions 4-GD6cQhkoqS4.ja.vtt |
97б |
| 05. Admissions 4-GD6cQhkoqS4.mp4 |
831.76Кб |
| 05. Admissions 4-GD6cQhkoqS4.pt-BR.vtt |
100б |
| 05. Admissions 4-GD6cQhkoqS4.zh-CN.vtt |
90б |
| 05. Admissions 4--GMhV1twy6Y.ar.vtt |
204б |
| 05. Admissions 4--GMhV1twy6Y.en.vtt |
138б |
| 05. Admissions 4--GMhV1twy6Y.es-ES.vtt |
141б |
| 05. Admissions 4--GMhV1twy6Y.hr.vtt |
144б |
| 05. Admissions 4--GMhV1twy6Y.it.vtt |
173б |
| 05. Admissions 4--GMhV1twy6Y.ja.vtt |
154б |
| 05. Admissions 4--GMhV1twy6Y.mp4 |
523.00Кб |
| 05. Admissions 4--GMhV1twy6Y.pt-BR.vtt |
149б |
| 05. Admissions 4--GMhV1twy6Y.zh-CN.vtt |
115б |
| 05. Admissions 4--GMhV1twy6Y.zh-Hans.vtt |
119б |
| 05. AIT M5L4B 01 Introduction To Regex V4-WCXDD_n1ZuA.en.vtt |
4.63Кб |
| 05. AIT M5L4B 01 Introduction To Regex V4-WCXDD_n1ZuA.mp4 |
11.27Мб |
| 05. AIT M5L5 06 World Lists Searches V2-RutjcGh74Mw.en.vtt |
1.87Кб |
| 05. AIT M5L5 06 World Lists Searches V2-RutjcGh74Mw.mp4 |
4.15Мб |
| 05. AITND Term II Interview W Justin V2 V2-JOkwa1brNX8.en.vtt |
12.41Кб |
| 05. AITND Term II Interview W Justin V2 V2-JOkwa1brNX8.mp4 |
48.24Мб |
| 05. Anatomy of a Strategy.html |
7.12Кб |
| 05. Assignment Operators-p_qfzL-x3Cs.ar.vtt |
2.42Кб |
| 05. Assignment Operators-p_qfzL-x3Cs.en.vtt |
1.79Кб |
| 05. Assignment Operators-p_qfzL-x3Cs.mp4 |
10.15Мб |
| 05. Assignment Operators-p_qfzL-x3Cs.pt-BR.vtt |
2.08Кб |
| 05. Assignment Operators-p_qfzL-x3Cs.zh-CN.vtt |
1.59Кб |
| 05. Bayes Theorem.html |
6.91Кб |
| 05. Binomial Distributions Quiz.html |
11.01Кб |
| 05. Confidence Interval for a Difference In Means-8hrWGzjyhck.en.vtt |
2.19Кб |
| 05. Confidence Interval for a Difference In Means-8hrWGzjyhck.mp4 |
2.21Мб |
| 05. Confidence Interval for a Difference In Means-8hrWGzjyhck.pt-BR.vtt |
2.08Кб |
| 05. Confidence Interval for a Difference In Means-8hrWGzjyhck.zh-CN.vtt |
1.79Кб |
| 05. Confusion Matrix 2.html |
7.72Кб |
| 05. Confusion-Matrix-Solution-ywwSzyU9rYs.en.vtt |
1.05Кб |
| 05. Confusion-Matrix-Solution-ywwSzyU9rYs.en-US.vtt |
1.10Кб |
| 05. Confusion-Matrix-Solution-ywwSzyU9rYs.mp4 |
1.10Мб |
| 05. Confusion-Matrix-Solution-ywwSzyU9rYs.pt-BR.vtt |
889б |
| 05. Confusion-Matrix-Solution-ywwSzyU9rYs.zh-CN.vtt |
956б |
| 05. Counting Words.html |
9.77Кб |
| 05. Data Types-gT6EYlsLZkE.ar.vtt |
2.61Кб |
| 05. Data Types-gT6EYlsLZkE.en.vtt |
1.86Кб |
| 05. Data Types-gT6EYlsLZkE.mp4 |
2.07Мб |
| 05. Data Types-gT6EYlsLZkE.pt-BR.vtt |
1.99Кб |
| 05. Data Types-gT6EYlsLZkE.zh-CN.vtt |
1.78Кб |
| 05. Distributions of Returns and Prices.html |
12.72Кб |
| 05. Early Stopping.html |
6.88Кб |
| 05. Eddy Thomas 03 Jobs And Interviews V2-5W9XsgyxYHE.mp4 |
33.77Мб |
| 05. Emotional Intelligence.html |
7.66Кб |
| 05. Encoding Words, Solution.html |
6.72Кб |
| 05. ETF Sponsors.html |
6.83Кб |
| 05. Exercise ARMA and ARIMA.html |
6.63Кб |
| 05. Experiment I.html |
8.75Кб |
| 05. Experiment I-JLKAdT2JESk.en.vtt |
2.58Кб |
| 05. Experiment I-JLKAdT2JESk.mp4 |
3.01Мб |
| 05. Experiment I-JLKAdT2JESk.pt-BR.vtt |
2.96Кб |
| 05. Experiment I-JLKAdT2JESk.zh-CN.vtt |
2.09Кб |
| 05. Factor Model Assumptions.html |
8.24Кб |
| 05. Factor Model of Asset Return.html |
7.94Кб |
| 05. Gaussian Intro.html |
9.92Кб |
| 05. Getting Started.html |
6.68Кб |
| 05. Growth V. Value.html |
7.83Кб |
| 05. holdings in dollars.html |
7.07Кб |
| 05. Insights from a Quant - Careers.html |
5.71Кб |
| 05. Interview with Art - Part 1.html |
7.93Кб |
| 05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt |
4.59Кб |
| 05. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt |
3.82Кб |
| 05. Interview with Art - Part 1-ClLYamtaO-Q.ja-JP.vtt |
4.29Кб |
| 05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 |
61.75Кб |
| 05. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt |
4.00Кб |
| 05. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt |
3.40Кб |
| 05. Interview with Justin Sheetz.html |
5.89Кб |
| 05. Introduction to Regexes.html |
7.76Кб |
| 05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.en.vtt |
3.15Кб |
| 05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.mp4 |
2.71Мб |
| 05. KALMAN Gaussian Intro RENDER 1 1 V3-S2v1CExswT4.zh-CN.vtt |
2.57Кб |
| 05. L1 06 Growth Vs Value V2-ZCjre5YTD0s.en.vtt |
1.14Кб |
| 05. L1 06 Growth Vs Value V2-ZCjre5YTD0s.mp4 |
3.37Мб |
| 05. L2 04b Variables II V3-4IJqbP8vi6A.ar.vtt |
3.35Кб |
| 05. L2 04b Variables II V3-4IJqbP8vi6A.en.vtt |
2.42Кб |
| 05. L2 04b Variables II V3-4IJqbP8vi6A.mp4 |
16.81Мб |
| 05. L2 04b Variables II V3-4IJqbP8vi6A.pt-BR.vtt |
2.82Кб |
| 05. L2 04b Variables II V3-4IJqbP8vi6A.zh-CN.vtt |
2.19Кб |
| 05. L2 07 ETF Sponsor V2-v5vfAP1nJ10.en.vtt |
1.86Кб |
| 05. L2 07 ETF Sponsor V2-v5vfAP1nJ10.mp4 |
4.66Мб |
| 05. L6 06 HS Adjust Bag Size V4-BZbgljJnGYE.en.vtt |
887б |
| 05. L6 06 HS Adjust Bag Size V4-BZbgljJnGYE.mp4 |
3.42Мб |
| 05. Learn Gate-aVHVI7ovbHY.en.vtt |
2.63Кб |
| 05. Learn Gate-aVHVI7ovbHY.mp4 |
2.22Мб |
| 05. Learn Gate-aVHVI7ovbHY.pt-BR.vtt |
2.66Кб |
| 05. Learn Gate-aVHVI7ovbHY.zh-CN.vtt |
2.51Кб |
| 05. Linear Boundaries.html |
9.96Кб |
| 05. Linear Boundaries.html |
9.98Кб |
| 05. Linear Boundaries-X-uMlsBi07k.en.vtt |
3.85Кб |
| 05. Linear Boundaries-X-uMlsBi07k.en.vtt |
3.85Кб |
| 05. Linear Boundaries-X-uMlsBi07k.ja-JP.vtt |
3.80Кб |
| 05. Linear Boundaries-X-uMlsBi07k.ja-JP.vtt |
3.80Кб |
| 05. Linear Boundaries-X-uMlsBi07k.mp4 |
3.85Мб |
| 05. Linear Boundaries-X-uMlsBi07k.mp4 |
3.85Мб |
| 05. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt |
3.67Кб |
| 05. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt |
3.67Кб |
| 05. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt |
3.37Кб |
| 05. Linear Boundaries-X-uMlsBi07k.zh-CN.vtt |
3.37Кб |
| 05. Linear Dependency .html |
8.02Кб |
| 05. Loaded Coin 2.html |
9.44Кб |
| 05. Loaded Coin 2-dGffszQYzqc.ar.vtt |
1.06Кб |
| 05. Loaded Coin 2-dGffszQYzqc.en.vtt |
874б |
| 05. Loaded Coin 2-dGffszQYzqc.es-ES.vtt |
880б |
| 05. Loaded Coin 2-dGffszQYzqc.hr.vtt |
942б |
| 05. Loaded Coin 2-dGffszQYzqc.it.vtt |
915б |
| 05. Loaded Coin 2-dGffszQYzqc.ja.vtt |
762б |
| 05. Loaded Coin 2-dGffszQYzqc.mp4 |
3.36Мб |
| 05. Loaded Coin 2-dGffszQYzqc.pt-BR.vtt |
866б |
| 05. Loaded Coin 2-dGffszQYzqc.zh-CN.vtt |
817б |
| 05. Loaded Coin 2-Y7tnbth-gag.ar.vtt |
222б |
| 05. Loaded Coin 2-Y7tnbth-gag.en.vtt |
180б |
| 05. Loaded Coin 2-Y7tnbth-gag.es-ES.vtt |
185б |
| 05. Loaded Coin 2-Y7tnbth-gag.hr.vtt |
157б |
| 05. Loaded Coin 2-Y7tnbth-gag.it.vtt |
171б |
| 05. Loaded Coin 2-Y7tnbth-gag.ja.vtt |
159б |
| 05. Loaded Coin 2-Y7tnbth-gag.mp4 |
805.43Кб |
| 05. Loaded Coin 2-Y7tnbth-gag.pt-BR.vtt |
184б |
| 05. Loaded Coin 2-Y7tnbth-gag.th.vtt |
267б |
| 05. Loaded Coin 2-Y7tnbth-gag.zh-CN.vtt |
164б |
| 05. M1L3 08 Tick Data V4-2O0eSKmI6YQ.en.vtt |
2.42Кб |
| 05. M1L3 08 Tick Data V4-2O0eSKmI6YQ.mp4 |
3.08Мб |
| 05. M1L4 08 Missing Values V5-XaMaVFUIc_I.en.vtt |
7.34Кб |
| 05. M1L4 08 Missing Values V5-XaMaVFUIc_I.mp4 |
14.17Мб |
| 05. M1L5 06 Distribution Of Stock Prices Part 2 V1-cGoXGiO1DYk.en.vtt |
4.36Кб |
| 05. M1L5 06 Distribution Of Stock Prices Part 2 V1-cGoXGiO1DYk.mp4 |
7.07Мб |
| 05. M2L1 04 Anatomy Of A Strategy Part 1 V5-cnJK8c2zfq4.en.vtt |
2.77Кб |
| 05. M2L1 04 Anatomy Of A Strategy Part 1 V5-cnJK8c2zfq4.mp4 |
3.35Мб |
| 05. M2L1 04 Anatomy Of A Strategy Part 2 V1-v3w4JZKQixc.en.vtt |
4.46Кб |
| 05. M2L1 04 Anatomy Of A Strategy Part 2 V1-v3w4JZKQixc.mp4 |
5.00Мб |
| 05. M2L1 04 Anatomy Of A Strategy Part 3 V1-vSxnkduTWWY.en.vtt |
5.83Кб |
| 05. M2L1 04 Anatomy Of A Strategy Part 3 V1-vSxnkduTWWY.mp4 |
8.21Мб |
| 05. M2L2 04 Spotting Outliers In Raw Data V3-kFIB0YIW1TQ.en.vtt |
2.14Кб |
| 05. M2L2 04 Spotting Outliers In Raw Data V3-kFIB0YIW1TQ.mp4 |
4.22Мб |
| 05. M4 L1A 04 Standardizing A Factor V5-sLZY2SQ4uME.en.vtt |
3.70Кб |
| 05. M4 L1A 04 Standardizing A Factor V5-sLZY2SQ4uME.mp4 |
5.93Мб |
| 05. M4 L1B 04 Factor Model Assumptions V3-qEu3m_3eGWk.en.vtt |
2.44Кб |
| 05. M4 L1B 04 Factor Model Assumptions V3-qEu3m_3eGWk.mp4 |
8.95Мб |
| 05. M4 L2A 03 Factor Model Of Asset Return V2-7UnllxDmLj8.en.vtt |
3.55Кб |
| 05. M4 L2A 03 Factor Model Of Asset Return V2-7UnllxDmLj8.mp4 |
3.48Мб |
| 05. M4 L2A 16 Fama French Size Factor V2-94a2ugitC_E.en.vtt |
3.54Кб |
| 05. M4 L2A 16 Fama French Size Factor V2-94a2ugitC_E.mp4 |
4.24Мб |
| 05. M4 L2b 05 Translating Between Bases V4-lrE4VOJ2RCA.en.vtt |
3.00Кб |
| 05. M4 L2b 05 Translating Between Bases V4-lrE4VOJ2RCA.mp4 |
2.63Мб |
| 05. M4 L3a 04 Researching Alphas From Academic Papers V4-te0UTxemLBE.en.vtt |
5.07Кб |
| 05. M4 L3a 04 Researching Alphas From Academic Papers V4-te0UTxemLBE.mp4 |
13.52Мб |
| 05. M4 L3b 04 Overnight Returns Data Universe Methods V2-Y_lBDa1hRco.en.vtt |
4.44Кб |
| 05. M4 L3b 04 Overnight Returns Data Universe Methods V2-Y_lBDa1hRco.mp4 |
10.55Мб |
| 05. M4 L4 06 Standard Constraints V4-OPBKsNQPr6I.en.vtt |
2.37Кб |
| 05. M4 L4 06 Standard Constraints V4-OPBKsNQPr6I.mp4 |
6.22Мб |
| 05. M7L5 07 Volatility Dollar Volume Part 1 V2-H5hJOG1DjBU.en.vtt |
3.05Кб |
| 05. M7L5 07 Volatility Dollar Volume Part 1 V2-H5hJOG1DjBU.mp4 |
6.54Мб |
| 05. M7L5 07 Volatility Dollar Volume Part 2 V1-1WK5VAMzQ2Q.en.vtt |
3.73Кб |
| 05. M7L5 07 Volatility Dollar Volume Part 2 V1-1WK5VAMzQ2Q.mp4 |
5.63Мб |
| 05. M7L5 07 Volatility Dollar Volume Part 3 V1-xwBdEXXTu1s.en.vtt |
1.41Кб |
| 05. M7L5 07 Volatility Dollar Volume Part 3 V1-xwBdEXXTu1s.mp4 |
2.30Мб |
| 05. M7L5 07 Volatility Dollar Volume Solution V1-FBOlA2NaK3k.en.vtt |
3.88Кб |
| 05. M7L5 07 Volatility Dollar Volume Solution V1-FBOlA2NaK3k.mp4 |
5.27Мб |
| 05. M7L5 6 V1-R8kfSvnHA3k.en.vtt |
3.12Кб |
| 05. M7L5 6 V1-R8kfSvnHA3k.mp4 |
17.37Мб |
| 05. M7L7 07 Sklearn Code Intro Part 1 V3-1lkQSp6FHgo.en.vtt |
4.61Кб |
| 05. M7L7 07 Sklearn Code Intro Part 1 V3-1lkQSp6FHgo.mp4 |
7.94Мб |
| 05. M7L7 07 Sklearn Code Intro Part 2 V1-ZxfpUIY_AcE.en.vtt |
3.96Кб |
| 05. M7L7 07 Sklearn Code Intro Part 2 V1-ZxfpUIY_AcE.mp4 |
7.86Мб |
| 05. M7L7 07 Sklearn Code Intro Part 3 V1-e6SZrnZxaTI.en.vtt |
4.51Кб |
| 05. M7L7 07 Sklearn Code Intro Part 3 V1-e6SZrnZxaTI.mp4 |
7.02Мб |
| 05. M7L7 07 Sklearn Code Intro Part 4 V1-l614btyXRCI.en.vtt |
3.75Кб |
| 05. M7L7 07 Sklearn Code Intro Part 4 V1-l614btyXRCI.mp4 |
8.04Мб |
| 05. M7L7 08 Gini Intro V1-_Ar4nlfUUEM.en.vtt |
3.46Кб |
| 05. M7L7 08 Gini Intro V1-_Ar4nlfUUEM.mp4 |
4.13Мб |
| 05. M7L7 09 Gini Solution V1-xCjkhgQDTu4.en.vtt |
2.30Кб |
| 05. M7L7 09 Gini Solution V1-xCjkhgQDTu4.mp4 |
4.69Мб |
| 05. M7L7 10 Node Importance Intro V1-Q7KJgKCm8cs.en.vtt |
3.78Кб |
| 05. M7L7 10 Node Importance Intro V1-Q7KJgKCm8cs.mp4 |
7.70Мб |
| 05. M7L7 11 Node Importance Solution V1-Il0GsMMyTcM.en.vtt |
1.38Кб |
| 05. M7L7 11 Node Importance Solution V1-Il0GsMMyTcM.mp4 |
2.70Мб |
| 05. M7L7 13 Feature Importance Solution V1-C0_ngrOk-TA.en.vtt |
1.52Кб |
| 05. M7L7 13 Feature Importance Solution V1-C0_ngrOk-TA.mp4 |
2.26Мб |
| 05. M8L1 10 Overtrading V2-0cdGLRDI_Sk.en.vtt |
1.77Кб |
| 05. M8L1 10 Overtrading V2-0cdGLRDI_Sk.mp4 |
8.16Мб |
| 05. M8l2 05 Holdings Dollars V1-GKA0cpKx0BE.en.vtt |
4.27Кб |
| 05. M8l2 05 Holdings Dollars V1-GKA0cpKx0BE.mp4 |
3.82Мб |
| 05. M8l3 06 Performance Attribution V1-kLGjemiiPIs.en.vtt |
3.45Кб |
| 05. M8l3 06 Performance Attribution V1-kLGjemiiPIs.mp4 |
3.19Мб |
| 05. Match Points with Clusters.html |
10.35Кб |
| 05. Match Points with Clusters-lS5DfbsWH34.ar.vtt |
1.05Кб |
| 05. Match Points with Clusters-lS5DfbsWH34.en.vtt |
772б |
| 05. Match Points with Clusters-lS5DfbsWH34.mp4 |
1.61Мб |
| 05. Match Points with Clusters-lS5DfbsWH34.pt-BR.vtt |
781б |
| 05. Match Points with Clusters-lS5DfbsWH34.zh-CN.vtt |
680б |
| 05. Match Points with Clusters-wJV1cRjmIYY.ar.vtt |
682б |
| 05. Match Points with Clusters-wJV1cRjmIYY.en.vtt |
613б |
| 05. Match Points with Clusters-wJV1cRjmIYY.mp4 |
2.75Мб |
| 05. Match Points with Clusters-wJV1cRjmIYY.pt-BR.vtt |
671б |
| 05. Match Points with Clusters-wJV1cRjmIYY.zh-CN.vtt |
589б |
| 05. Medical Example 4.html |
9.14Кб |
| 05. Medical Example 4-pL8Bf6tck_A.ar.vtt |
405б |
| 05. Medical Example 4-pL8Bf6tck_A.en.vtt |
310б |
| 05. Medical Example 4-pL8Bf6tck_A.es-ES.vtt |
332б |
| 05. Medical Example 4-pL8Bf6tck_A.it.vtt |
308б |
| 05. Medical Example 4-pL8Bf6tck_A.ja.vtt |
305б |
| 05. Medical Example 4-pL8Bf6tck_A.mp4 |
1.69Мб |
| 05. Medical Example 4-pL8Bf6tck_A.pt-BR.vtt |
360б |
| 05. Medical Example 4-pL8Bf6tck_A.th.vtt |
541б |
| 05. Medical Example 4-pL8Bf6tck_A.zh-CN.vtt |
277б |
| 05. Medical Example 4-udduksMWMB4.ar.vtt |
518б |
| 05. Medical Example 4-udduksMWMB4.en.vtt |
354б |
| 05. Medical Example 4-udduksMWMB4.es-ES.vtt |
360б |
| 05. Medical Example 4-udduksMWMB4.it.vtt |
359б |
| 05. Medical Example 4-udduksMWMB4.ja.vtt |
331б |
| 05. Medical Example 4-udduksMWMB4.mp4 |
2.29Мб |
| 05. Medical Example 4-udduksMWMB4.pt-BR.vtt |
396б |
| 05. Medical Example 4-udduksMWMB4.th.vtt |
657б |
| 05. Medical Example 4-udduksMWMB4.zh-CN.vtt |
303б |
| 05. Missing Values.html |
6.57Кб |
| 05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.en.vtt |
1.80Кб |
| 05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.mp4 |
4.16Мб |
| 05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.pt-BR.vtt |
1.59Кб |
| 05. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.zh-CN.vtt |
1.65Кб |
| 05. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.en.vtt |
3.19Кб |
| 05. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.mp4 |
2.34Мб |
| 05. MLND SL EM 02 Bagging V1 MAIN V1-9L_B0Jcio3c.pt-BR.vtt |
3.10Кб |
| 05. Model Complexity Graph-NnS0FJyVcDQ.en.vtt |
5.32Кб |
| 05. Model Complexity Graph-NnS0FJyVcDQ.mp4 |
4.90Мб |
| 05. Model Complexity Graph-NnS0FJyVcDQ.pt-BR.vtt |
5.52Кб |
| 05. Model Complexity Graph-NnS0FJyVcDQ.zh-CN.vtt |
4.65Кб |
| 05. Moving a Line.html |
7.53Кб |
| 05. Moving A Line-8EIHFyL2Log.en.vtt |
1.16Кб |
| 05. Moving A Line-8EIHFyL2Log.mp4 |
981.31Кб |
| 05. Moving A Line-8EIHFyL2Log.pt-BR.vtt |
1.05Кб |
| 05. Multiplication of a Square Matrices.html |
10.98Кб |
| 05. Normalizing 2.html |
11.17Кб |
| 05. Normalizing 2--pOzdj6pnbA.ar.vtt |
95б |
| 05. Normalizing 2--pOzdj6pnbA.en.vtt |
89б |
| 05. Normalizing 2--pOzdj6pnbA.es-ES.vtt |
109б |
| 05. Normalizing 2--pOzdj6pnbA.it.vtt |
90б |
| 05. Normalizing 2--pOzdj6pnbA.ja.vtt |
91б |
| 05. Normalizing 2--pOzdj6pnbA.mp4 |
671.97Кб |
| 05. Normalizing 2--pOzdj6pnbA.pt-BR.vtt |
92б |
| 05. Normalizing 2--pOzdj6pnbA.th.vtt |
108б |
| 05. Normalizing 2--pOzdj6pnbA.zh-CN.vtt |
87б |
| 05. Normalizing 2-WYA5Zbf8HC4.ar.vtt |
903б |
| 05. Normalizing 2-WYA5Zbf8HC4.en.vtt |
646б |
| 05. Normalizing 2-WYA5Zbf8HC4.es-ES.vtt |
681б |
| 05. Normalizing 2-WYA5Zbf8HC4.it.vtt |
712б |
| 05. Normalizing 2-WYA5Zbf8HC4.ja.vtt |
618б |
| 05. Normalizing 2-WYA5Zbf8HC4.mp4 |
4.26Мб |
| 05. Normalizing 2-WYA5Zbf8HC4.pt-BR.vtt |
769б |
| 05. Normalizing 2-WYA5Zbf8HC4.th.vtt |
1.09Кб |
| 05. Normalizing 2-WYA5Zbf8HC4.zh-CN.vtt |
553б |
| 05. Notebook interface.html |
10.12Кб |
| 05. Notebook Word2Vec, SkipGram.html |
7.50Кб |
| 05. NumPy 2 V1-KR3hHf9Zxxg.en.vtt |
11.69Кб |
| 05. NumPy 2 V1-KR3hHf9Zxxg.mp4 |
14.18Мб |
| 05. NumPy 2 V1-KR3hHf9Zxxg.pt-BR.vtt |
13.35Кб |
| 05. NumPy 2 V1-KR3hHf9Zxxg.zh-CN.vtt |
10.77Кб |
| 05. Overnight Returns Data, Universe, Methods.html |
8.94Кб |
| 05. Overtrading.html |
6.11Кб |
| 05. Pandas 2 V1-B7MuFIwboKU.en.vtt |
3.31Кб |
| 05. Pandas 2 V1-B7MuFIwboKU.mp4 |
3.77Мб |
| 05. Pandas 2 V1-B7MuFIwboKU.pt-BR.vtt |
3.84Кб |
| 05. Pandas 2 V1-B7MuFIwboKU.zh-CN.vtt |
3.00Кб |
| 05. Performance Attribution.html |
6.07Кб |
| 05. Perturbations on Rows.html |
7.06Кб |
| 05. Portfolio Optimization with 2 Stocks.html |
7.93Кб |
| 05. Possible Solution 2.html |
6.50Кб |
| 05. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.en.vtt |
10.42Кб |
| 05. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.mp4 |
15.66Мб |
| 05. PyTorch V2 Part 1 Solution V1-mNJ8CujTtpo.zh-CN.vtt |
8.49Кб |
| 05. Quadratics 2.html |
8.96Кб |
| 05. Quadratics 2-HjpgML5zsUE.ar.vtt |
1.18Кб |
| 05. Quadratics 2-HjpgML5zsUE.en.vtt |
879б |
| 05. Quadratics 2-HjpgML5zsUE.es-ES.vtt |
886б |
| 05. Quadratics 2-HjpgML5zsUE.ja.vtt |
760б |
| 05. Quadratics 2-HjpgML5zsUE.mp4 |
4.66Мб |
| 05. Quadratics 2-HjpgML5zsUE.pt-BR.vtt |
933б |
| 05. Quadratics 2-HjpgML5zsUE.zh-CN.vtt |
659б |
| 05. Quadratics 2-N-wpkttwcoA.ar.vtt |
1.00Кб |
| 05. Quadratics 2-N-wpkttwcoA.en.vtt |
738б |
| 05. Quadratics 2-N-wpkttwcoA.es-ES.vtt |
823б |
| 05. Quadratics 2-N-wpkttwcoA.ja.vtt |
710б |
| 05. Quadratics 2-N-wpkttwcoA.mp4 |
1.60Мб |
| 05. Quadratics 2-N-wpkttwcoA.pt-BR.vtt |
741б |
| 05. Quadratics 2-N-wpkttwcoA.zh-CN.vtt |
655б |
| 05. Quiz 5 Number Summary Practice.html |
11.26Кб |
| 05. Quiz Conditional Statements.html |
12.83Кб |
| 05. Quiz Dtype.html |
7.27Кб |
| 05. Quiz Identify Pairs to Trade.html |
7.92Кб |
| 05. Quiz Standard Normal Distribution.html |
8.55Кб |
| 05. Quiz Student Admissions.html |
8.76Кб |
| 05. Quiz Volatility.html |
24.04Кб |
| 05. Recommending Apps 3.html |
8.00Кб |
| 05. Recommending Apps-nEvW8B1HNq4.en.vtt |
2.78Кб |
| 05. Recommending Apps-nEvW8B1HNq4.mp4 |
6.32Мб |
| 05. Recommending Apps-nEvW8B1HNq4.pt-BR.vtt |
2.51Кб |
| 05. Recommending Apps-nEvW8B1HNq4.zh-CN.vtt |
2.57Кб |
| 05. Reducing Risk.html |
9.15Кб |
| 05. Researching Alphas from Academic Papers.html |
11.75Кб |
| 05. Running a Python Script.html |
10.19Кб |
| 05. Running A Python Script-vMKemwCderg.ar.vtt |
2.98Кб |
| 05. Running A Python Script-vMKemwCderg.en.vtt |
2.23Кб |
| 05. Running A Python Script-vMKemwCderg.mp4 |
2.55Мб |
| 05. Running A Python Script-vMKemwCderg.pt-BR.vtt |
2.54Кб |
| 05. Running A Python Script-vMKemwCderg.zh-CN.vtt |
2.13Кб |
| 05. ScreenCast Difference In Means.html |
9.08Кб |
| 05. Sentiments from Wordlists.html |
6.59Кб |
| 05. Setting Up Hypotheses - Part II-nByvHz77GiA.en.vtt |
2.71Кб |
| 05. Setting Up Hypotheses - Part II-nByvHz77GiA.mp4 |
7.67Мб |
| 05. Setting Up Hypotheses - Part II-nByvHz77GiA.pt-BR.vtt |
2.79Кб |
| 05. Setting Up Hypotheses - Part II-nByvHz77GiA.zh-CN.vtt |
2.28Кб |
| 05. Setting Up Hypothesis Tests - Part II.html |
11.46Кб |
| 05. Single layer neural networks solution.html |
8.79Кб |
| 05. Size.html |
7.38Кб |
| 05. sklearn Code Walkthrough (Optional).html |
11.31Кб |
| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.en.vtt |
2.66Кб |
| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4 |
7.25Мб |
| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.pt-BR.vtt |
2.77Кб |
| 05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.zh-CN.vtt |
2.24Кб |
| 05. Spotting Outliers in Raw Data.html |
6.30Кб |
| 05. Standard Constraints.html |
7.03Кб |
| 05. Standardizing a factor.html |
6.77Кб |
| 05. Tell Us About Yourself.html |
6.63Кб |
| 05. Text Descriptive vs. Inferential Statistics.html |
10.39Кб |
| 05. The Learn Gate.html |
7.94Кб |
| 05. Tick Data.html |
6.07Кб |
| 05. Tokenization.html |
6.82Кб |
| 05. Tokenization-4Ieotbeh4u8.en.vtt |
2.89Кб |
| 05. Tokenization-4Ieotbeh4u8.mp4 |
3.22Мб |
| 05. Tokenization-4Ieotbeh4u8.pt-BR.vtt |
3.28Кб |
| 05. Tokenization-4Ieotbeh4u8.zh-CN.vtt |
2.59Кб |
| 05. Translating Between Bases.html |
7.11Кб |
| 05. Transpose.html |
8.32Кб |
| 05. Universal Quant Features.html |
8.63Кб |
| 05. Unstructured Text.html |
8.59Кб |
| 05. Unstructured Text-OmwSdaec5vU.en.vtt |
1.74Кб |
| 05. Unstructured Text-OmwSdaec5vU.mp4 |
4.63Мб |
| 05. Unstructured Text-OmwSdaec5vU.zh-CN.vtt |
1.55Кб |
| 05. Use Your Elevator Pitch on LinkedIn.html |
9.77Кб |
| 05. Using Built-in Functions to Create ndarrays.html |
28.99Кб |
| 05. Variables-7pxpUot4x0w.ar.vtt |
2.80Кб |
| 05. Variables-7pxpUot4x0w.en.vtt |
2.09Кб |
| 05. Variables-7pxpUot4x0w.mp4 |
15.33Мб |
| 05. Variables-7pxpUot4x0w.pt-BR.vtt |
2.45Кб |
| 05. Variables-7pxpUot4x0w.zh-CN.vtt |
1.79Кб |
| 05. Variables and Assignment Operators.html |
15.36Кб |
| 05. Variable Scope.html |
10.30Кб |
| 05. Variable Scope-rYubQlAM-gw.ar.vtt |
1.60Кб |
| 05. Variable Scope-rYubQlAM-gw.en.vtt |
1.24Кб |
| 05. Variable Scope-rYubQlAM-gw.mp4 |
9.01Мб |
| 05. Variable Scope-rYubQlAM-gw.pt-BR.vtt |
1.54Кб |
| 05. Variable Scope-rYubQlAM-gw.zh-CN.vtt |
1.12Кб |
| 05. Video Data Types (Quantitative vs. Categorical).html |
9.50Кб |
| 05. Word Embeddings.html |
6.13Кб |
| 05. Word Embeddings-4mM_S9L2_JQ.en.vtt |
1.55Кб |
| 05. Word Embeddings-4mM_S9L2_JQ.mp4 |
1.22Мб |
| 05. Word Embeddings-4mM_S9L2_JQ.pt-BR.vtt |
1.71Кб |
| 05. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt |
1.26Кб |
| 05. Working with Equations.html |
10.67Кб |
| 06. 09 Higher Dimensions-eBHunImDmWw.en.vtt |
2.95Кб |
| 06. 09 Higher Dimensions-eBHunImDmWw.en.vtt |
2.95Кб |
| 06. 09 Higher Dimensions-eBHunImDmWw.ja-JP.vtt |
3.01Кб |
| 06. 09 Higher Dimensions-eBHunImDmWw.ja-JP.vtt |
3.01Кб |
| 06. 09 Higher Dimensions-eBHunImDmWw.mp4 |
2.59Мб |
| 06. 09 Higher Dimensions-eBHunImDmWw.mp4 |
2.59Мб |
| 06. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt |
2.66Кб |
| 06. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt |
2.66Кб |
| 06. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt |
2.37Кб |
| 06. 09 Higher Dimensions-eBHunImDmWw.zh-CN.vtt |
2.37Кб |
| 06. 4 Data Subsampling V1-7SJXv2BQzZA.en.vtt |
10.50Кб |
| 06. 4 Data Subsampling V1-7SJXv2BQzZA.mp4 |
14.69Мб |
| 06. 4 Data Subsampling V1-7SJXv2BQzZA.pt-BR.vtt |
10.26Кб |
| 06. 4 Data Subsampling V1-7SJXv2BQzZA.zh-CN.vtt |
8.96Кб |
| 06. 5 Flips 3 Heads.html |
8.64Кб |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.ar.vtt |
167б |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.en.vtt |
122б |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.es-ES.vtt |
130б |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.ja.vtt |
157б |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.mp4 |
824.92Кб |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.pt-BR.vtt |
160б |
| 06. 5 Flips 3 Heads-1PHs2w_NNTg.zh-CN.vtt |
136б |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.ar.vtt |
2.52Кб |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.en.vtt |
1.71Кб |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.es-ES.vtt |
1.74Кб |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.ja.vtt |
1.61Кб |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.mp4 |
11.94Мб |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.pt-BR.vtt |
1.86Кб |
| 06. 5 Flips 3 Heads-pOKmt4w8T3g.zh-CN.vtt |
1.50Кб |
| 06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.en.vtt |
3.60Кб |
| 06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.mp4 |
4.59Мб |
| 06. 5 GettingRid ZeroLength V1-Hs6ithuvDJg.zh-CN.vtt |
3.03Кб |
| 06. 5 Number Summary to Variance-Ljhau0hrZ1g.ar.vtt |
2.22Кб |
| 06. 5 Number Summary to Variance-Ljhau0hrZ1g.en.vtt |
1.54Кб |
| 06. 5 Number Summary to Variance-Ljhau0hrZ1g.mp4 |
2.88Мб |
| 06. 5 Number Summary to Variance-Ljhau0hrZ1g.pt-BR.vtt |
1.80Кб |
| 06. 5 Number Summary to Variance-Ljhau0hrZ1g.zh-CN.vtt |
1.34Кб |
| 06. Absolute Trick.html |
7.54Кб |
| 06. Absolute Trick-DJWjBAqSkZw.en.vtt |
6.58Кб |
| 06. Absolute Trick-DJWjBAqSkZw.mp4 |
5.17Мб |
| 06. Absolute Trick-DJWjBAqSkZw.pt-BR.vtt |
6.41Кб |
| 06. Accuracy.html |
8.63Кб |
| 06. Accuracy-s6SfhPTNOHA.en.vtt |
1.72Кб |
| 06. Accuracy-s6SfhPTNOHA.en-US.vtt |
2.08Кб |
| 06. Accuracy-s6SfhPTNOHA.mp4 |
2.34Мб |
| 06. Accuracy-s6SfhPTNOHA.pt-BR.vtt |
1.87Кб |
| 06. Accuracy-s6SfhPTNOHA.zh-CN.vtt |
1.63Кб |
| 06. AIT M5L5 05 Frequency Reweighting V2-X-Cf2Uj7tH4.en.vtt |
4.19Кб |
| 06. AIT M5L5 05 Frequency Reweighting V2-X-Cf2Uj7tH4.mp4 |
25.33Мб |
| 06. Answer Gaussian Intro.html |
8.79Кб |
| 06. Arithmetic Operations on pandas Series.html |
14.25Кб |
| 06. Authorized Participant and the Create Process.html |
7.44Кб |
| 06. Backtest Best Practices.html |
7.55Кб |
| 06. Cancer Test Results.html |
12.74Кб |
| 06. Cleaning.html |
6.99Кб |
| 06. Cleaning-qawXp9DPV6I.en.vtt |
8.29Кб |
| 06. Cleaning-qawXp9DPV6I.mp4 |
19.59Мб |
| 06. Cleaning-qawXp9DPV6I.pt-BR.vtt |
9.05Кб |
| 06. Cleaning-qawXp9DPV6I.zh-CN.vtt |
7.47Кб |
| 06. Code cells.html |
6.77Кб |
| 06. Cointegration.html |
11.26Кб |
| 06. Context Is Everything.html |
6.71Кб |
| 06. Context-J-4pfu2w1C0.en.vtt |
2.12Кб |
| 06. Context-J-4pfu2w1C0.mp4 |
4.62Мб |
| 06. Context-J-4pfu2w1C0.zh-CN.vtt |
1.97Кб |
| 06. Controlling for Risk within an Alpha Factor Part 1.html |
11.82Кб |
| 06. Counting Words.html |
9.84Кб |
| 06. Covariance Matrix Using a Factor Model.html |
8.31Кб |
| 06. Create an ndarray.html |
8.12Кб |
| 06. Create Your Profile With SEO In Mind.html |
9.45Кб |
| 06. Data Subsampling.html |
8.96Кб |
| 06. De-mean part 1.html |
7.24Кб |
| 06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt |
1.15Кб |
| 06. DL 53 Q Regularization-KxROxcRsHL8.mp4 |
1.01Мб |
| 06. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt |
1.16Кб |
| 06. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt |
1.02Кб |
| 06. Example of Sampling Distributions - Part I-1XezzP6kxUE.ar.vtt |
1.81Кб |
| 06. Example of Sampling Distributions - Part I-1XezzP6kxUE.en.vtt |
1.43Кб |
| 06. Example of Sampling Distributions - Part I-1XezzP6kxUE.mp4 |
3.54Мб |
| 06. Example of Sampling Distributions - Part I-1XezzP6kxUE.pt-BR.vtt |
1.39Кб |
| 06. Example of Sampling Distributions - Part I-1XezzP6kxUE.zh-CN.vtt |
1.23Кб |
| 06. Factor Model of Asset Return Exercise.html |
7.94Кб |
| 06. Forests of Randomized Trees.html |
7.65Кб |
| 06. Forget Gate-iWxpfxLUPSU.en.vtt |
1.26Кб |
| 06. Forget Gate-iWxpfxLUPSU.mp4 |
1.04Мб |
| 06. Forget Gate-iWxpfxLUPSU.pt-BR.vtt |
1.33Кб |
| 06. Forget Gate-iWxpfxLUPSU.zh-CN.vtt |
1.12Кб |
| 06. Formulating Portfolio Optimization Problems.html |
15.91Кб |
| 06. Frequency Reweighting (TF-IDF).html |
6.07Кб |
| 06. Gender Bias.html |
8.76Кб |
| 06. Gender Bias-DeWp0hnRq4g.ar.vtt |
399б |
| 06. Gender Bias-DeWp0hnRq4g.en.vtt |
281б |
| 06. Gender Bias-DeWp0hnRq4g.hr.vtt |
291б |
| 06. Gender Bias-DeWp0hnRq4g.it.vtt |
311б |
| 06. Gender Bias-DeWp0hnRq4g.ja.vtt |
293б |
| 06. Gender Bias-DeWp0hnRq4g.mp4 |
1.49Мб |
| 06. Gender Bias-DeWp0hnRq4g.pt-BR.vtt |
276б |
| 06. Gender Bias-DeWp0hnRq4g.zh-CN.vtt |
257б |
| 06. Gender Bias-JWl8lPGhlbY.ar.vtt |
549б |
| 06. Gender Bias-JWl8lPGhlbY.en.vtt |
468б |
| 06. Gender Bias-JWl8lPGhlbY.hr.vtt |
425б |
| 06. Gender Bias-JWl8lPGhlbY.it.vtt |
476б |
| 06. Gender Bias-JWl8lPGhlbY.ja.vtt |
458б |
| 06. Gender Bias-JWl8lPGhlbY.mp4 |
1.78Мб |
| 06. Gender Bias-JWl8lPGhlbY.pt-BR.vtt |
447б |
| 06. Gender Bias-JWl8lPGhlbY.zh-CN.vtt |
355б |
| 06. Getting Rid of Zero-Length.html |
6.74Кб |
| 06. Handling Outliers in Raw Data.html |
6.30Кб |
| 06. Higher Dimensions.html |
10.43Кб |
| 06. Higher Dimensions.html |
10.45Кб |
| 06. Identify fixes for example “bad” profile.html |
10.97Кб |
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt |
490б |
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt |
371б |
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.ja-JP.vtt |
473б |
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4 |
569.35Кб |
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt |
457б |
| 06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt |
357б |
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt |
1.94Кб |
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt |
1.39Кб |
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.ja-JP.vtt |
1.61Кб |
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4 |
1.59Мб |
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt |
1.48Кб |
| 06. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt |
1.31Кб |
| 06. Kalman Filter.html |
7.73Кб |
| 06. L1 07 Ratios V2-Dfbwep-tkok.en.vtt |
2.05Кб |
| 06. L1 07 Ratios V2-Dfbwep-tkok.mp4 |
5.43Мб |
| 06. L2 08 Authorized Participant And The Create Process V4-u4thSf3Uxsc.en.vtt |
2.83Кб |
| 06. L2 08 Authorized Participant And The Create Process V4-u4thSf3Uxsc.mp4 |
7.57Мб |
| 06. L4 011 HS Random Forests V5-TSpYXdBYo1s.en.vtt |
3.31Кб |
| 06. L4 011 HS Random Forests V5-TSpYXdBYo1s.mp4 |
6.65Мб |
| 06. L6 08 HS Ensemble Models Trained On Nonoverlapping Periods V5-YiXkL-Ts67I.en.vtt |
604б |
| 06. L6 08 HS Ensemble Models Trained On Nonoverlapping Periods V5-YiXkL-Ts67I.mp4 |
601.84Кб |
| 06. Leverage Constraint.html |
7.05Кб |
| 06. Loaded Coin 3.html |
9.56Кб |
| 06. Loaded Coin 3-HohMRlmHoMQ.ar.vtt |
279б |
| 06. Loaded Coin 3-HohMRlmHoMQ.en.vtt |
231б |
| 06. Loaded Coin 3-HohMRlmHoMQ.es-ES.vtt |
234б |
| 06. Loaded Coin 3-HohMRlmHoMQ.hr.vtt |
238б |
| 06. Loaded Coin 3-HohMRlmHoMQ.it.vtt |
234б |
| 06. Loaded Coin 3-HohMRlmHoMQ.ja.vtt |
261б |
| 06. Loaded Coin 3-HohMRlmHoMQ.mp4 |
1.69Мб |
| 06. Loaded Coin 3-HohMRlmHoMQ.pt-BR.vtt |
265б |
| 06. Loaded Coin 3-HohMRlmHoMQ.th.vtt |
354б |
| 06. Loaded Coin 3-HohMRlmHoMQ.zh-CN.vtt |
228б |
| 06. Loaded Coin 3-P4uljJ_OP6I.ar.vtt |
302б |
| 06. Loaded Coin 3-P4uljJ_OP6I.en.vtt |
260б |
| 06. Loaded Coin 3-P4uljJ_OP6I.es-ES.vtt |
257б |
| 06. Loaded Coin 3-P4uljJ_OP6I.hr.vtt |
289б |
| 06. Loaded Coin 3-P4uljJ_OP6I.it.vtt |
291б |
| 06. Loaded Coin 3-P4uljJ_OP6I.ja.vtt |
247б |
| 06. Loaded Coin 3-P4uljJ_OP6I.mp4 |
1.35Мб |
| 06. Loaded Coin 3-P4uljJ_OP6I.pt-BR.vtt |
249б |
| 06. Loaded Coin 3-P4uljJ_OP6I.th.vtt |
447б |
| 06. Loaded Coin 3-P4uljJ_OP6I.zh-CN.vtt |
248б |
| 06. M1L1 MV 01 Intro In The First Five V1-magg5AVJRVA.en.vtt |
1.52Кб |
| 06. M1L1 MV 01 Intro In The First Five V1-magg5AVJRVA.mp4 |
3.31Мб |
| 06. M1L1 MV 04a Knowledge V1-lX_is8cq0Bg.en.vtt |
929б |
| 06. M1L1 MV 04a Knowledge V1-lX_is8cq0Bg.mp4 |
1.84Мб |
| 06. M1L1 MV 04b Project Reviews V1-KJbx9f9VKJE.en.vtt |
1.29Кб |
| 06. M1L1 MV 04b Project Reviews V1-KJbx9f9VKJE.mp4 |
2.50Мб |
| 06. M1L1 MV 04 Study Groups V1-vmjk1EKR6mM.en.vtt |
853б |
| 06. M1L1 MV 04 Study Groups V1-vmjk1EKR6mM.mp4 |
1.53Мб |
| 06. M1L3 09 Open High Low Close V4-FgNY4YgVWFk.en.vtt |
2.83Кб |
| 06. M1L3 09 Open High Low Close V4-FgNY4YgVWFk.mp4 |
2.35Мб |
| 06. M1L6 06 Trading Strategy V2-rrCHC20FkIc.en.vtt |
4.09Кб |
| 06. M1L6 06 Trading Strategy V2-rrCHC20FkIc.mp4 |
4.43Мб |
| 06. M2L2 05 Handling Outliers In Raw Data V3-3l6kQZqlVJA.en.vtt |
3.23Кб |
| 06. M2L2 05 Handling Outliers In Raw Data V3-3l6kQZqlVJA.mp4 |
7.92Мб |
| 06. M2L4 07 Kalman Filter V4-CLJhgfMI4Ho.en.vtt |
4.08Кб |
| 06. M2L4 07 Kalman Filter V4-CLJhgfMI4Ho.mp4 |
11.09Мб |
| 06. M2L5 06 Rolling Windows V3-4EuMKqeNXA0.en.vtt |
2.50Кб |
| 06. M2L5 06 Rolling Windows V3-4EuMKqeNXA0.mp4 |
4.79Мб |
| 06. M2L6 09 Cointegration V6-N4ZI5SyFMOc.en.vtt |
3.91Кб |
| 06. M2L6 09 Cointegration V6-N4ZI5SyFMOc.mp4 |
5.47Мб |
| 06. M4 L1A 05 Demean Part 1 V3-R3N8bd8U6TM.en.vtt |
4.89Кб |
| 06. M4 L1A 05 Demean Part 1 V3-R3N8bd8U6TM.mp4 |
5.52Мб |
| 06. M4 L1B 05 Covariance Matrix Using Factor Model V3-_qfTLXoifsM.en.vtt |
4.73Кб |
| 06. M4 L1B 05 Covariance Matrix Using Factor Model V3-_qfTLXoifsM.mp4 |
6.93Мб |
| 06. M4 L2A 17 Fama French Size Factor V3-FXZuHsn0bx4.en.vtt |
3.72Кб |
| 06. M4 L2A 17 Fama French Size Factor V3-FXZuHsn0bx4.mp4 |
3.62Мб |
| 06. M4 L2b 06 The Core Idea V3-0KwLkaKHAvg.en.vtt |
3.58Кб |
| 06. M4 L2b 06 The Core Idea V3-0KwLkaKHAvg.mp4 |
7.32Мб |
| 06. M4 L3a 051 Controlling For Risk Within An Alpha Factor Part 1 V3-raeVfAbBXnA.en.vtt |
2.75Кб |
| 06. M4 L3a 051 Controlling For Risk Within An Alpha Factor Part 1 V3-raeVfAbBXnA.mp4 |
7.70Мб |
| 06. M4 L3b 05 Overnight Returns Methods Quantile Analysis V3-4Js3mghq2mU.en.vtt |
2.30Кб |
| 06. M4 L3b 05 Overnight Returns Methods Quantile Analysis V3-4Js3mghq2mU.mp4 |
5.60Мб |
| 06. M4 L4 07 Leverage Constraint V5-zJ9gon4rFQc.en.vtt |
3.03Кб |
| 06. M4 L4 07 Leverage Constraint V5-zJ9gon4rFQc.mp4 |
7.87Мб |
| 06. M5 SC 1 Raw Strings V1-WhL1VbulThY.en.vtt |
2.82Кб |
| 06. M5 SC 1 Raw Strings V1-WhL1VbulThY.mp4 |
6.88Мб |
| 06. M7L5 09 Dispersion Intro Part 1 V2-xCGuuymx180.en.vtt |
3.07Кб |
| 06. M7L5 09 Dispersion Intro Part 1 V2-xCGuuymx180.mp4 |
4.07Мб |
| 06. M7L5 09 Dispersion Intro Part 2 V1-waeV2fKGeW8.en.vtt |
1.37Кб |
| 06. M7L5 09 Dispersion Intro Part 2 V1-waeV2fKGeW8.mp4 |
1.41Мб |
| 06. M7L5 10 Dispersion Solution V1-S5lzU1nAuhU.en.vtt |
3.19Кб |
| 06. M7L5 10 Dispersion Solution V1-S5lzU1nAuhU.mp4 |
4.77Мб |
| 06. M7L5 9 V1-x7ON_-QrpHQ.en.vtt |
2.65Кб |
| 06. M7L5 9 V1-x7ON_-QrpHQ.mp4 |
14.18Мб |
| 06. M8l2 06 Scaling Alpha V2--gXKutS0jQc.en.vtt |
4.25Кб |
| 06. M8l2 06 Scaling Alpha V2--gXKutS0jQc.mp4 |
5.04Мб |
| 06. Magnitude and Direction .html |
9.62Кб |
| 06. Market Dispersion.html |
7.47Кб |
| 06. Medical Example 5.html |
9.14Кб |
| 06. Medical Example 5-fqt7NIvMB0s.ar.vtt |
153б |
| 06. Medical Example 5-fqt7NIvMB0s.en.vtt |
128б |
| 06. Medical Example 5-fqt7NIvMB0s.es-ES.vtt |
142б |
| 06. Medical Example 5-fqt7NIvMB0s.it.vtt |
127б |
| 06. Medical Example 5-fqt7NIvMB0s.ja.vtt |
138б |
| 06. Medical Example 5-fqt7NIvMB0s.mp4 |
528.90Кб |
| 06. Medical Example 5-fqt7NIvMB0s.pt-BR.vtt |
169б |
| 06. Medical Example 5-fqt7NIvMB0s.th.vtt |
204б |
| 06. Medical Example 5-fqt7NIvMB0s.zh-CN.vtt |
123б |
| 06. Medical Example 5-ys9w-NNKCcU.ar.vtt |
436б |
| 06. Medical Example 5-ys9w-NNKCcU.en.vtt |
349б |
| 06. Medical Example 5-ys9w-NNKCcU.es-ES.vtt |
358б |
| 06. Medical Example 5-ys9w-NNKCcU.it.vtt |
341б |
| 06. Medical Example 5-ys9w-NNKCcU.ja.vtt |
315б |
| 06. Medical Example 5-ys9w-NNKCcU.mp4 |
2.36Мб |
| 06. Medical Example 5-ys9w-NNKCcU.pt-BR.vtt |
393б |
| 06. Medical Example 5-ys9w-NNKCcU.th.vtt |
723б |
| 06. Medical Example 5-ys9w-NNKCcU.zh-CN.vtt |
275б |
| 06. Networks Using Matrix Multiplication.html |
8.75Кб |
| 06. Normalizing 3.html |
11.17Кб |
| 06. Normalizing 3-etrUbOAoh1U.ar.vtt |
110б |
| 06. Normalizing 3-etrUbOAoh1U.en.vtt |
103б |
| 06. Normalizing 3-etrUbOAoh1U.es-ES.vtt |
109б |
| 06. Normalizing 3-etrUbOAoh1U.it.vtt |
96б |
| 06. Normalizing 3-etrUbOAoh1U.ja.vtt |
94б |
| 06. Normalizing 3-etrUbOAoh1U.mp4 |
650.53Кб |
| 06. Normalizing 3-etrUbOAoh1U.pt-BR.vtt |
108б |
| 06. Normalizing 3-etrUbOAoh1U.th.vtt |
135б |
| 06. Normalizing 3-etrUbOAoh1U.zh-CN.vtt |
90б |
| 06. Normalizing 3-V96RcbbVP7Q.ar.vtt |
283б |
| 06. Normalizing 3-V96RcbbVP7Q.en.vtt |
219б |
| 06. Normalizing 3-V96RcbbVP7Q.es-ES.vtt |
234б |
| 06. Normalizing 3-V96RcbbVP7Q.it.vtt |
231б |
| 06. Normalizing 3-V96RcbbVP7Q.ja.vtt |
199б |
| 06. Normalizing 3-V96RcbbVP7Q.mp4 |
1.22Мб |
| 06. Normalizing 3-V96RcbbVP7Q.pt-BR.vtt |
253б |
| 06. Normalizing 3-V96RcbbVP7Q.th.vtt |
339б |
| 06. Normalizing 3-V96RcbbVP7Q.zh-CN.vtt |
198б |
| 06. Notebook + Quiz Difference in Means.html |
16.75Кб |
| 06. OHLC Open, High, Low, Close.html |
6.15Кб |
| 06. Optimizing Centers (Rubber Bands).html |
9.09Кб |
| 06. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.ar.vtt |
2.11Кб |
| 06. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.en.vtt |
1.63Кб |
| 06. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.mp4 |
4.59Мб |
| 06. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.pt-BR.vtt |
1.56Кб |
| 06. Optimizing Centers (Rubber Bands)-nNR4hjhhGBc.zh-CN.vtt |
1.43Кб |
| 06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.ar.vtt |
836б |
| 06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.en.vtt |
595б |
| 06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.mp4 |
1.80Мб |
| 06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.pt-BR.vtt |
606б |
| 06. Optimizing Centers (Rubber Bands)-TN1rQMrx65c.zh-CN.vtt |
488б |
| 06. Overnight Returns Methods Quantile Analysis.html |
8.94Кб |
| 06. Pandas 3 V1-yhMT0X6YPFA.en.vtt |
2.92Кб |
| 06. Pandas 3 V1-yhMT0X6YPFA.mp4 |
3.51Мб |
| 06. Pandas 3 V1-yhMT0X6YPFA.pt-BR.vtt |
3.41Кб |
| 06. Pandas 3 V1-yhMT0X6YPFA.zh-CN.vtt |
2.59Кб |
| 06. Performance Attribution Exercise.html |
6.68Кб |
| 06. Possible Solution 3.html |
6.21Кб |
| 06. Programming Environment Setup.html |
10.54Кб |
| 06. Programming Environment Setup-EKxDnCK0NAk.ar.vtt |
6.17Кб |
| 06. Programming Environment Setup-EKxDnCK0NAk.en.vtt |
4.14Кб |
| 06. Programming Environment Setup-EKxDnCK0NAk.mp4 |
7.42Мб |
| 06. Programming Environment Setup-EKxDnCK0NAk.pt-BR.vtt |
4.89Кб |
| 06. Programming Environment Setup-EKxDnCK0NAk.zh-CN.vtt |
3.93Кб |
| 06. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.en.vtt |
4.52Кб |
| 06. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.mp4 |
6.57Мб |
| 06. PyTorch V2 Part 1 Solution 2 V1-QLaGMz8Ca3E.zh-CN.vtt |
3.60Кб |
| 06. Quadratics 3.html |
9.03Кб |
| 06. Quadratics 3-Ny2vcRZ6Aws.ar.vtt |
599б |
| 06. Quadratics 3-Ny2vcRZ6Aws.en.vtt |
461б |
| 06. Quadratics 3-Ny2vcRZ6Aws.es-ES.vtt |
459б |
| 06. Quadratics 3-Ny2vcRZ6Aws.ja.vtt |
389б |
| 06. Quadratics 3-Ny2vcRZ6Aws.mp4 |
2.61Мб |
| 06. Quadratics 3-Ny2vcRZ6Aws.pt-BR.vtt |
465б |
| 06. Quadratics 3-Ny2vcRZ6Aws.zh-CN.vtt |
403б |
| 06. Quadratics 3-YSMWpFM92S0.ar.vtt |
974б |
| 06. Quadratics 3-YSMWpFM92S0.en.vtt |
752б |
| 06. Quadratics 3-YSMWpFM92S0.es-ES.vtt |
746б |
| 06. Quadratics 3-YSMWpFM92S0.ja.vtt |
587б |
| 06. Quadratics 3-YSMWpFM92S0.mp4 |
2.54Мб |
| 06. Quadratics 3-YSMWpFM92S0.pt-BR.vtt |
673б |
| 06. Quadratics 3-YSMWpFM92S0.zh-CN.vtt |
638б |
| 06. Quiz Data Types (Quantitative vs. Categorical).html |
16.28Кб |
| 06. Quiz Experiment I.html |
16.37Кб |
| 06. Quiz False Positives.html |
8.14Кб |
| 06. Quiz Setting Up Hypothesis Tests.html |
17.36Кб |
| 06. Quiz Variables and Assignment Operators.html |
14.81Кб |
| 06. Ratios.html |
8.52Кб |
| 06. Raw Strings.html |
8.64Кб |
| 06. Regularization.html |
7.92Кб |
| 06. Rolling Windows.html |
6.54Кб |
| 06. scaling alpha factor.html |
6.96Кб |
| 06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.en.vtt |
1.93Кб |
| 06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.mp4 |
5.41Мб |
| 06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.pt-BR.vtt |
1.94Кб |
| 06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.zh-CN.vtt |
1.67Кб |
| 06. SMB.html |
7.84Кб |
| 06. Solution Conditional Statements.html |
10.26Кб |
| 06. Solution Student Admissions.html |
7.60Кб |
| 06. Solving a Simplified Set of Equations.html |
14.21Кб |
| 06. Square Matrix Multiplication Quiz.html |
9.59Кб |
| 06. Student Admissions-TdgBi6LtOB8.en.vtt |
2.50Кб |
| 06. Student Admissions-TdgBi6LtOB8.mp4 |
5.41Мб |
| 06. Student Admissions-TdgBi6LtOB8.pt-BR.vtt |
2.31Кб |
| 06. Student Admissions-TdgBi6LtOB8.zh-CN.vtt |
2.34Кб |
| 06. Student Support.html |
9.68Кб |
| 06. Testing For Normalilty-Sa1MJegyYfc.en.vtt |
10.13Кб |
| 06. Testing For Normalilty-Sa1MJegyYfc.mp4 |
11.27Мб |
| 06. Testing for Normality.html |
9.75Кб |
| 06. The Core Idea.html |
7.04Кб |
| 06. The Forget Gate.html |
7.86Кб |
| 06. Trading Days.html |
7.27Кб |
| 06. Trading Strategy.html |
7.40Кб |
| 06. Tree Anatomy.html |
10.84Кб |
| 06. Try our workspace out!.html |
7.44Кб |
| 06. Variable Scope.html |
7.91Кб |
| 06. Variance of a 3-Asset Portfolio.html |
8.58Кб |
| 06. Video + Quiz Introduction to Sampling Distributions Part I.html |
11.81Кб |
| 06. Video What if We Only Want One Number.html |
9.85Кб |
| 06. Vision-based Emotion AI.html |
6.22Кб |
| 06. Vision-based Emotion AI-7nKKWWn1sAc.en.vtt |
2.97Кб |
| 06. Vision-based Emotion AI-7nKKWWn1sAc.mp4 |
13.76Мб |
| 06. Vision-based Emotion AI-7nKKWWn1sAc.zh-CN.vtt |
2.63Кб |
| 06. When Feature Importance is Inconsistent.html |
7.66Кб |
| 06. Why Log Returns.html |
6.41Кб |
| 06. Word2Vec.html |
6.07Кб |
| 06. Word2Vec-7jjappzGRe0.en.vtt |
3.42Кб |
| 06. Word2Vec-7jjappzGRe0.mp4 |
2.98Мб |
| 06. Word2Vec-7jjappzGRe0.pt-BR.vtt |
3.81Кб |
| 06. Word2Vec-7jjappzGRe0.zh-CN.vtt |
2.85Кб |
| 07. 08. Computer Vision Pipeline-64hFcqhnNow.en.vtt |
1.69Кб |
| 07. 08. Computer Vision Pipeline-64hFcqhnNow.mp4 |
2.79Мб |
| 07. 08. Computer Vision Pipeline-64hFcqhnNow.zh-CN.vtt |
1.51Кб |
| 07. 10 Flips 5 Heads.html |
8.65Кб |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.ar.vtt |
1.14Кб |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.en.vtt |
908б |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.es-ES.vtt |
900б |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.ja.vtt |
923б |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.mp4 |
9.25Мб |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.pt-BR.vtt |
1.24Кб |
| 07. 10 Flips 5 Heads-mOPFQlKBg2M.zh-CN.vtt |
818б |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.ar.vtt |
342б |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.en.vtt |
256б |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.es-ES.vtt |
251б |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.ja.vtt |
304б |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.mp4 |
3.37Мб |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.pt-BR.vtt |
383б |
| 07. 10 Flips 5 Heads-Qm4KTLfFMzo.zh-CN.vtt |
215б |
| 07. 5 Subsampling Solution V1-YXruURuFD7g.en.vtt |
2.82Кб |
| 07. 5 Subsampling Solution V1-YXruURuFD7g.mp4 |
3.42Мб |
| 07. 5 Subsampling Solution V1-YXruURuFD7g.pt-BR.vtt |
3.06Кб |
| 07. 5 Subsampling Solution V1-YXruURuFD7g.zh-CN.vtt |
2.43Кб |
| 07. 6 Cleaning And Padding V1-UgPo1_cq-0g.en.vtt |
4.60Кб |
| 07. 6 Cleaning And Padding V1-UgPo1_cq-0g.mp4 |
6.36Мб |
| 07. 6 Cleaning And Padding V1-UgPo1_cq-0g.zh-CN.vtt |
3.84Кб |
| 07. Accessing, Deleting, and Inserting Elements Into ndarrays.html |
17.69Кб |
| 07. Accuracy 2.html |
7.73Кб |
| 07. Accuracy 2-ueYCLfd_aNQ.en.vtt |
688б |
| 07. Accuracy 2-ueYCLfd_aNQ.en-US.vtt |
720б |
| 07. Accuracy 2-ueYCLfd_aNQ.mp4 |
573.82Кб |
| 07. Accuracy 2-ueYCLfd_aNQ.pt.vtt |
656б |
| 07. Accuracy 2-ueYCLfd_aNQ.pt-BR.vtt |
618б |
| 07. Accuracy 2-ueYCLfd_aNQ.zh-CN.vtt |
528б |
| 07. ADF and roots.html |
11.73Кб |
| 07. Aggregation.html |
8.59Кб |
| 07. Aggregation-55eZrE82TqA.ar.vtt |
1.05Кб |
| 07. Aggregation-55eZrE82TqA.en.vtt |
799б |
| 07. Aggregation-55eZrE82TqA.hr.vtt |
748б |
| 07. Aggregation-55eZrE82TqA.it.vtt |
797б |
| 07. Aggregation-55eZrE82TqA.ja.vtt |
708б |
| 07. Aggregation-55eZrE82TqA.mp4 |
4.66Мб |
| 07. Aggregation-55eZrE82TqA.pt-BR.vtt |
797б |
| 07. Aggregation-55eZrE82TqA.zh-CN.vtt |
673б |
| 07. Aggregation-8j5hria6Rc8.ar.vtt |
98б |
| 07. Aggregation-8j5hria6Rc8.en.vtt |
90б |
| 07. Aggregation-8j5hria6Rc8.hr.vtt |
85б |
| 07. Aggregation-8j5hria6Rc8.it.vtt |
89б |
| 07. Aggregation-8j5hria6Rc8.ja.vtt |
89б |
| 07. Aggregation-8j5hria6Rc8.mp4 |
447.99Кб |
| 07. Aggregation-8j5hria6Rc8.pt-BR.vtt |
89б |
| 07. Aggregation-8j5hria6Rc8.zh-CN.vtt |
84б |
| 07. AIT M5L5 08 Similarity Analysis V3-LNro_9JOIrY.en.vtt |
4.33Кб |
| 07. AIT M5L5 08 Similarity Analysis V3-LNro_9JOIrY.mp4 |
11.12Мб |
| 07. Attribution Reporting.html |
7.52Кб |
| 07. Boolean Expressions for Conditions.html |
15.93Кб |
| 07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.ar.vtt |
1.22Кб |
| 07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.en.vtt |
988б |
| 07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.mp4 |
1.74Мб |
| 07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.pt-BR.vtt |
1.14Кб |
| 07. Categorical Ordinal Nominal Data-k5bLaPGY2Vw.zh-CN.vtt |
935б |
| 07. Cleaning Padding Data.html |
6.74Кб |
| 07. Complementary Outcomes.html |
7.85Кб |
| 07. Complementary Outcomes-YseJqD-1oUg.ar.vtt |
838б |
| 07. Complementary Outcomes-YseJqD-1oUg.en.vtt |
682б |
| 07. Complementary Outcomes-YseJqD-1oUg.es-ES.vtt |
671б |
| 07. Complementary Outcomes-YseJqD-1oUg.hr.vtt |
640б |
| 07. Complementary Outcomes-YseJqD-1oUg.it.vtt |
697б |
| 07. Complementary Outcomes-YseJqD-1oUg.ja.vtt |
669б |
| 07. Complementary Outcomes-YseJqD-1oUg.mp4 |
4.50Мб |
| 07. Complementary Outcomes-YseJqD-1oUg.pt-BR.vtt |
695б |
| 07. Complementary Outcomes-YseJqD-1oUg.th.vtt |
1.22Кб |
| 07. Complementary Outcomes-YseJqD-1oUg.zh-CN.vtt |
582б |
| 07. Complex Boolean Expressions-gWmIKWgzFqI.ar.vtt |
3.12Кб |
| 07. Complex Boolean Expressions-gWmIKWgzFqI.en.vtt |
2.35Кб |
| 07. Complex Boolean Expressions-gWmIKWgzFqI.mp4 |
15.06Мб |
| 07. Complex Boolean Expressions-gWmIKWgzFqI.pt-BR.vtt |
2.45Кб |
| 07. Complex Boolean Expressions-gWmIKWgzFqI.zh-CN.vtt |
2.13Кб |
| 07. Computer Vision Pipeline.html |
9.91Кб |
| 07. Conditional Probability Bayes Rule Quiz.html |
11.72Кб |
| 07. Confidence Intervals Applications-C0wgmeRx9yE.en.vtt |
1.54Кб |
| 07. Confidence Intervals Applications-C0wgmeRx9yE.mp4 |
6.08Мб |
| 07. Confidence Intervals Applications-C0wgmeRx9yE.pt-BR.vtt |
1.64Кб |
| 07. Confidence Intervals Applications-C0wgmeRx9yE.zh-CN.vtt |
1.31Кб |
| 07. Context Is Everything.html |
6.79Кб |
| 07. Context-J-4pfu2w1C0.en.vtt |
2.12Кб |
| 07. Context-J-4pfu2w1C0.mp4 |
4.62Мб |
| 07. Context-J-4pfu2w1C0.zh-CN.vtt |
1.97Кб |
| 07. Controlling for Risk within an Alpha Factor Part 2.html |
11.79Кб |
| 07. cvxpy.html |
12.40Кб |
| 07. De-mean part 2.html |
6.72Кб |
| 07. Dependent Labels Exercise.html |
6.47Кб |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt |
5.89Кб |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.en.vtt |
5.89Кб |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.ja-JP.vtt |
6.00Кб |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.ja-JP.vtt |
6.00Кб |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4 |
5.13Мб |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4 |
5.13Мб |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt |
5.61Кб |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.pt-BR.vtt |
5.61Кб |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt |
5.00Кб |
| 07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.zh-CN.vtt |
5.00Кб |
| 07. Editing a Python Script.html |
9.27Кб |
| 07. Entropy.html |
7.27Кб |
| 07. Entropy-piLpj1V1HEk.en.vtt |
4.78Кб |
| 07. Entropy-piLpj1V1HEk.mp4 |
12.59Мб |
| 07. Entropy-piLpj1V1HEk.pt-BR.vtt |
4.19Кб |
| 07. Entropy-piLpj1V1HEk.zh-CN.vtt |
4.32Кб |
| 07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.ar.vtt |
1.33Кб |
| 07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.en.vtt |
1017б |
| 07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.mp4 |
3.87Мб |
| 07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.pt-BR.vtt |
1.04Кб |
| 07. Example of Sampling Distributions - Part II-PKf3Nu6zAxM.zh-CN.vtt |
905б |
| 07. Factor Exposure and Position Constraints.html |
7.16Кб |
| 07. Factor Model of Portfolio Return.html |
7.94Кб |
| 07. Factor Models in Quant Finance.html |
8.27Кб |
| 07. Feedback.html |
8.39Кб |
| 07. Finding Words .html |
8.66Кб |
| 07. GloVe.html |
6.07Кб |
| 07. GloVe-KK3PMIiIn8o.en.vtt |
4.21Кб |
| 07. GloVe-KK3PMIiIn8o.mp4 |
3.81Мб |
| 07. GloVe-KK3PMIiIn8o.pt-BR.vtt |
4.55Кб |
| 07. GloVe-KK3PMIiIn8o.zh-CN.vtt |
3.61Кб |
| 07. Good And Bad Examples-95oLh3WtdhY.ar.vtt |
4.14Кб |
| 07. Good And Bad Examples-95oLh3WtdhY.en.vtt |
2.92Кб |
| 07. Good And Bad Examples-95oLh3WtdhY.mp4 |
19.91Мб |
| 07. Good And Bad Examples-95oLh3WtdhY.pt-BR.vtt |
3.29Кб |
| 07. Good And Bad Examples-95oLh3WtdhY.zh-CN.vtt |
2.56Кб |
| 07. Index Categories.html |
8.53Кб |
| 07. L1 08 SP Index Categories V2-D3VGIvti71g.en.vtt |
1.37Кб |
| 07. L1 08 SP Index Categories V2-D3VGIvti71g.mp4 |
4.34Мб |
| 07. L2 09 Redeeming Shares V3-ZSVgU7DBarc.en.vtt |
1.27Кб |
| 07. L2 09 Redeeming Shares V3-ZSVgU7DBarc.mp4 |
1.38Мб |
| 07. L3 06 The Covariance Matrix And Quadratic Forms V1-as5lafBZ2CA.en.vtt |
1.17Кб |
| 07. L3 06 The Covariance Matrix And Quadratic Forms V1-as5lafBZ2CA.mp4 |
2.88Мб |
| 07. L7 HS17 V1-k0vANVo-5Ek.en.vtt |
3.16Кб |
| 07. L7 HS17 V1-k0vANVo-5Ek.mp4 |
15.71Мб |
| 07. Linear Combination - Quiz 2.html |
8.44Кб |
| 07. M2L2 06 Spotting Outliers In Signal Returns V4-BSLGZz0RzTg.en.vtt |
5.56Кб |
| 07. M2L2 06 Spotting Outliers In Signal Returns V4-BSLGZz0RzTg.mp4 |
8.50Мб |
| 07. M2L4 08 Particle Filter V4-4KhDUAvwI74.en.vtt |
2.63Кб |
| 07. M2L4 08 Particle Filter V4-4KhDUAvwI74.mp4 |
2.79Мб |
| 07. M4 L1A 06 Demean Part 2 V2-aaj1QVsSCIs.en.vtt |
2.62Кб |
| 07. M4 L1A 06 Demean Part 2 V2-aaj1QVsSCIs.mp4 |
3.90Мб |
| 07. M4 L1B 06 Factor Models In Quant Finance V2-VeM2SudgZqc.en.vtt |
4.82Кб |
| 07. M4 L1B 06 Factor Models In Quant Finance V2-VeM2SudgZqc.mp4 |
17.25Мб |
| 07. M4 L2A 04 Factor Model Of Portfolio Return V3-HEoPljS1wD0.en.vtt |
3.45Кб |
| 07. M4 L2A 04 Factor Model Of Portfolio Return V3-HEoPljS1wD0.mp4 |
3.47Мб |
| 07. M4 L2A 18 Fama French Value Factor V4-IcbsQ4QRGbs.en.vtt |
3.02Кб |
| 07. M4 L2A 18 Fama French Value Factor V4-IcbsQ4QRGbs.mp4 |
2.76Мб |
| 07. M4 L3a 052 Controlling For Risk Within An Alpha Factor Part 2 V2-Ks8HiHcflPs.en.vtt |
2.75Кб |
| 07. M4 L3a 052 Controlling For Risk Within An Alpha Factor Part 2 V2-Ks8HiHcflPs.mp4 |
7.21Мб |
| 07. M4 L4 08 Factor Exposure And Position Constraints V3-wMY4zI5zLSM.en.vtt |
2.64Кб |
| 07. M4 L4 08 Factor Exposure And Position Constraints V3-wMY4zI5zLSM.mp4 |
5.42Мб |
| 07. M5 SC 2 Finding Words V1-wTOh9B6aHGk.en.vtt |
5.34Кб |
| 07. M5 SC 2 Finding Words V1-wTOh9B6aHGk.mp4 |
11.78Мб |
| 07. M7L5 12 V1-cHU7Sh12eOo.en.vtt |
3.04Кб |
| 07. M7L5 12 V1-cHU7Sh12eOo.mp4 |
16.88Мб |
| 07. M7L5 13 Marketvol Intro V1-G03W42Z5RSo.en.vtt |
2.52Кб |
| 07. M7L5 13 Marketvol Intro V1-G03W42Z5RSo.mp4 |
4.02Мб |
| 07. M7L5 13 Marketvol Solution V1-yR1eWiv1jTM.en.vtt |
2.78Кб |
| 07. M7L5 13 Marketvol Solution V1-yR1eWiv1jTM.mp4 |
7.61Мб |
| 07. M8L1 14 Structural Changes V1-EaxepBSycbQ.en.vtt |
2.66Кб |
| 07. M8L1 14 Structural Changes V1-EaxepBSycbQ.mp4 |
11.47Мб |
| 07. M8l2 07 Tcost Part1 V1-E8di2Qu9Ogo.en.vtt |
1.36Кб |
| 07. M8l2 07 Tcost Part1 V1-E8di2Qu9Ogo.mp4 |
1.04Мб |
| 07. M8l2 07 Tcost Part2 V1-mWMFwCkWEFk.en.vtt |
2.57Кб |
| 07. M8l2 07 Tcost Part2 V1-mWMFwCkWEFk.mp4 |
2.54Мб |
| 07. M8l2 07 Tcost Part3 V2-ZFAZASS1m54.en.vtt |
3.05Кб |
| 07. M8l2 07 Tcost Part3 V2-ZFAZASS1m54.mp4 |
3.18Мб |
| 07. Manipulate a Series.html |
8.92Кб |
| 07. Markdown cells.html |
10.20Кб |
| 07. Market Volatility.html |
7.08Кб |
| 07. Matrix Multiplication - General.html |
10.81Кб |
| 07. Medical Example 6.html |
9.14Кб |
| 07. Medical Example 6-iyE5h48qPFQ.ar.vtt |
191б |
| 07. Medical Example 6-iyE5h48qPFQ.en.vtt |
169б |
| 07. Medical Example 6-iyE5h48qPFQ.es-ES.vtt |
166б |
| 07. Medical Example 6-iyE5h48qPFQ.it.vtt |
164б |
| 07. Medical Example 6-iyE5h48qPFQ.ja.vtt |
141б |
| 07. Medical Example 6-iyE5h48qPFQ.mp4 |
639.69Кб |
| 07. Medical Example 6-iyE5h48qPFQ.pt-BR.vtt |
164б |
| 07. Medical Example 6-iyE5h48qPFQ.th.vtt |
305б |
| 07. Medical Example 6-iyE5h48qPFQ.zh-CN.vtt |
163б |
| 07. Medical Example 6--lC9xztr4zA.ar.vtt |
473б |
| 07. Medical Example 6--lC9xztr4zA.en.vtt |
433б |
| 07. Medical Example 6--lC9xztr4zA.es-ES.vtt |
426б |
| 07. Medical Example 6--lC9xztr4zA.it.vtt |
414б |
| 07. Medical Example 6--lC9xztr4zA.ja.vtt |
264б |
| 07. Medical Example 6--lC9xztr4zA.mp4 |
1.68Мб |
| 07. Medical Example 6--lC9xztr4zA.pt-BR.vtt |
339б |
| 07. Medical Example 6--lC9xztr4zA.th.vtt |
604б |
| 07. Medical Example 6--lC9xztr4zA.zh-CN.vtt |
376б |
| 07. Metric - Click Through Rate.html |
8.16Кб |
| 07. Metric - Click Through Rate-EpfoKAwV_Eg.en.vtt |
3.60Кб |
| 07. Metric - Click Through Rate-EpfoKAwV_Eg.mp4 |
3.90Мб |
| 07. Metric - Click Through Rate-EpfoKAwV_Eg.pt-BR.vtt |
4.04Кб |
| 07. Metric - Click Through Rate-EpfoKAwV_Eg.zh-CN.vtt |
2.92Кб |
| 07. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.en.vtt |
1.80Кб |
| 07. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.mp4 |
4.16Мб |
| 07. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.pt-BR.vtt |
1.59Кб |
| 07. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.zh-CN.vtt |
1.65Кб |
| 07. Moving Centers 2.html |
9.07Кб |
| 07. Moving Centers 2-FY0DXe0lfrI.ar.vtt |
479б |
| 07. Moving Centers 2-FY0DXe0lfrI.en.vtt |
368б |
| 07. Moving Centers 2-FY0DXe0lfrI.mp4 |
1.34Мб |
| 07. Moving Centers 2-FY0DXe0lfrI.pt-BR.vtt |
370б |
| 07. Moving Centers 2-FY0DXe0lfrI.zh-CN.vtt |
361б |
| 07. Moving Centers 2-uC1Xwc7warg.ar.vtt |
444б |
| 07. Moving Centers 2-uC1Xwc7warg.en.vtt |
312б |
| 07. Moving Centers 2-uC1Xwc7warg.mp4 |
803.69Кб |
| 07. Moving Centers 2-uC1Xwc7warg.pt-BR.vtt |
326б |
| 07. Moving Centers 2-uC1Xwc7warg.zh-CN.vtt |
332б |
| 07. Multilayer Networks Solution.html |
8.17Кб |
| 07. Natural Language Processing-UQBxJzoCp-I.en.vtt |
1.17Кб |
| 07. Natural Language Processing-UQBxJzoCp-I.mp4 |
3.39Мб |
| 07. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt |
1.30Кб |
| 07. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt |
1.03Кб |
| 07. NLP and Pipelines.html |
6.39Кб |
| 07. NumPy 3 V1-Rt4aydeo9F8.en.vtt |
6.90Кб |
| 07. NumPy 3 V1-Rt4aydeo9F8.mp4 |
8.50Мб |
| 07. NumPy 3 V1-Rt4aydeo9F8.pt-BR.vtt |
7.25Кб |
| 07. NumPy 3 V1-Rt4aydeo9F8.zh-CN.vtt |
6.33Кб |
| 07. Overnight Returns exercise.html |
9.43Кб |
| 07. Particle Filter.html |
6.41Кб |
| 07. PCA Exercise.html |
7.67Кб |
| 07. Perceptrons.html |
10.28Кб |
| 07. Perceptrons.html |
10.30Кб |
| 07. Profile Essentials.html |
11.25Кб |
| 07. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.en.vtt |
4.52Кб |
| 07. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.mp4 |
5.90Мб |
| 07. PyTorch V2 Part 1 Solution 3 V1-iMIo9p5iSbE.zh-CN.vtt |
3.63Кб |
| 07. Quadratics 4.html |
8.55Кб |
| 07. Quadratics 4-yimIE9fCvi8.ar.vtt |
752б |
| 07. Quadratics 4-yimIE9fCvi8.en.vtt |
591б |
| 07. Quadratics 4-yimIE9fCvi8.es-ES.vtt |
595б |
| 07. Quadratics 4-yimIE9fCvi8.ja.vtt |
449б |
| 07. Quadratics 4-yimIE9fCvi8.mp4 |
2.00Мб |
| 07. Quadratics 4-yimIE9fCvi8.pt-BR.vtt |
547б |
| 07. Quadratics 4-yimIE9fCvi8.zh-CN.vtt |
519б |
| 07. Quadratics 4-zB2Y-5YEIec.ar.vtt |
623б |
| 07. Quadratics 4-zB2Y-5YEIec.en.vtt |
496б |
| 07. Quadratics 4-zB2Y-5YEIec.es-ES.vtt |
516б |
| 07. Quadratics 4-zB2Y-5YEIec.ja.vtt |
389б |
| 07. Quadratics 4-zB2Y-5YEIec.mp4 |
519.05Кб |
| 07. Quadratics 4-zB2Y-5YEIec.pt-BR.vtt |
481б |
| 07. Quadratics 4-zB2Y-5YEIec.zh-CN.vtt |
385б |
| 07. Quick Fixes #1.html |
7.76Кб |
| 07. Quick Fixes-Lb9e2KemR6I.ar.vtt |
2.61Кб |
| 07. Quick Fixes-Lb9e2KemR6I.en.vtt |
1.89Кб |
| 07. Quick Fixes-Lb9e2KemR6I.ja-JP.vtt |
2.18Кб |
| 07. Quick Fixes-Lb9e2KemR6I.mp4 |
3.99Мб |
| 07. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt |
2.06Кб |
| 07. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt |
1.87Кб |
| 07. Quiz Momentum-based Portfolio.html |
9.24Кб |
| 07. Quiz Normality .html |
8.03Кб |
| 07. Quiz Resample Data.html |
6.71Кб |
| 07. Quiz Rolling Windows.html |
7.20Кб |
| 07. Quiz Student Admissions.html |
9.41Кб |
| 07. Quiz Trading Experiment.html |
8.00Кб |
| 07. Quiz Variance and Preferred Gaussian.html |
11.03Кб |
| 07. Random Forests Exercise.html |
6.99Кб |
| 07. Redeeming Shares.html |
7.22Кб |
| 07. Regularization 2.html |
6.84Кб |
| 07. Regularization-ndYnUrx8xvs.en.vtt |
8.07Кб |
| 07. Regularization-ndYnUrx8xvs.mp4 |
7.57Мб |
| 07. Regularization-ndYnUrx8xvs.pt-BR.vtt |
8.78Кб |
| 07. Regularization-ndYnUrx8xvs.zh-CN.vtt |
6.96Кб |
| 07. Remember Gate-0qlm86HaXuU.en.vtt |
734б |
| 07. Remember Gate-0qlm86HaXuU.mp4 |
676.91Кб |
| 07. Remember Gate-0qlm86HaXuU.pt-BR.vtt |
700б |
| 07. Remember Gate-0qlm86HaXuU.zh-CN.vtt |
632б |
| 07. Shapley Additive Explanations.html |
6.65Кб |
| 07. Similarity Metrics.html |
6.05Кб |
| 07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.en.vtt |
6.46Кб |
| 07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.mp4 |
14.35Мб |
| 07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.pt-BR.vtt |
6.53Кб |
| 07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.zh-CN.vtt |
5.41Кб |
| 07. Solution False Positives.html |
6.97Кб |
| 07. Solution Variables and Assignment Operators.html |
11.76Кб |
| 07. Solution Variable Scope.html |
8.09Кб |
| 07. Spotting Outliers in Signal Returns.html |
6.50Кб |
| 07. Square Trick.html |
7.53Кб |
| 07. Square Trick-AGZEq-yQgRM.en.vtt |
3.91Кб |
| 07. Square Trick-AGZEq-yQgRM.mp4 |
3.28Мб |
| 07. Square Trick-AGZEq-yQgRM.pt-BR.vtt |
3.78Кб |
| 07. Stop Word Removal.html |
6.57Кб |
| 07. Stop Word Removal-WAU_Ij0GJbw.en.vtt |
1.59Кб |
| 07. Stop Word Removal-WAU_Ij0GJbw.mp4 |
1.96Мб |
| 07. Stop Word Removal-WAU_Ij0GJbw.pt-BR.vtt |
1.79Кб |
| 07. Stop Word Removal-WAU_Ij0GJbw.zh-CN.vtt |
1.40Кб |
| 07. Structural Changes.html |
7.31Кб |
| 07. Subsampling Solution.html |
7.10Кб |
| 07. The Covariance Matrix and Quadratic Forms.html |
9.62Кб |
| 07. The Remember Gate.html |
7.74Кб |
| 07. Total Probability-_hXCgF-aMB0.ar.vtt |
176б |
| 07. Total Probability-_hXCgF-aMB0.en.vtt |
140б |
| 07. Total Probability-_hXCgF-aMB0.es-ES.vtt |
143б |
| 07. Total Probability-_hXCgF-aMB0.it.vtt |
129б |
| 07. Total Probability-_hXCgF-aMB0.ja.vtt |
142б |
| 07. Total Probability-_hXCgF-aMB0.mp4 |
672.27Кб |
| 07. Total Probability-_hXCgF-aMB0.pt-BR.vtt |
164б |
| 07. Total Probability-_hXCgF-aMB0.th.vtt |
240б |
| 07. Total Probability-_hXCgF-aMB0.zh-CN.vtt |
127б |
| 07. Total Probability.html |
11.26Кб |
| 07. Total Probability-fAaE5K9OZJc.ar.vtt |
404б |
| 07. Total Probability-fAaE5K9OZJc.en.vtt |
313б |
| 07. Total Probability-fAaE5K9OZJc.es-ES.vtt |
333б |
| 07. Total Probability-fAaE5K9OZJc.it.vtt |
324б |
| 07. Total Probability-fAaE5K9OZJc.ja.vtt |
345б |
| 07. Total Probability-fAaE5K9OZJc.mp4 |
2.08Мб |
| 07. Total Probability-fAaE5K9OZJc.pt-BR.vtt |
391б |
| 07. Total Probability-fAaE5K9OZJc.th.vtt |
579б |
| 07. Total Probability-fAaE5K9OZJc.zh-CN.vtt |
297б |
| 07. Transaction Costs.html |
9.74Кб |
| 07. Truth Value Testing-e52uw7ejV8k.ar.vtt |
2.63Кб |
| 07. Truth Value Testing-e52uw7ejV8k.en.vtt |
1.77Кб |
| 07. Truth Value Testing-e52uw7ejV8k.mp4 |
12.78Мб |
| 07. Truth Value Testing-e52uw7ejV8k.pt-BR.vtt |
2.09Кб |
| 07. Truth Value Testing-e52uw7ejV8k.zh-CN.vtt |
1.60Кб |
| 07. Try our workspace again!.html |
8.68Кб |
| 07. Types of Errors - Part I.html |
9.55Кб |
| 07. Types Of Errors - Part I-aw6GMxIvENc.en.vtt |
2.13Кб |
| 07. Types Of Errors - Part I-aw6GMxIvENc.mp4 |
3.07Мб |
| 07. Types Of Errors - Part I-aw6GMxIvENc.pt-BR.vtt |
1.99Кб |
| 07. Types Of Errors - Part I-aw6GMxIvENc.zh-CN.vtt |
1.80Кб |
| 07. Value (HML).html |
6.80Кб |
| 07. Vectors- Quiz 1.html |
8.21Кб |
| 07. Video + Quiz Introduction to Sampling Distributions Part II.html |
11.68Кб |
| 07. Video Confidence Interval Applications.html |
8.56Кб |
| 07. Video Data Types (Ordinal vs. Nominal).html |
9.70Кб |
| 07. Video Introduction to Standard Deviation and Variance.html |
10.70Кб |
| 07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.ar.vtt |
3.38Кб |
| 07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.en.vtt |
2.70Кб |
| 07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.mp4 |
5.20Мб |
| 07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.pt-BR.vtt |
2.83Кб |
| 07. What is the Standard Deviation Measuring-IbwUJ3ORZ5s.zh-CN.vtt |
2.22Кб |
| 08. 6 Defining Context Targets V1-DJN9MzD7ctY.en.vtt |
4.54Кб |
| 08. 6 Defining Context Targets V1-DJN9MzD7ctY.mp4 |
5.67Мб |
| 08. 6 Defining Context Targets V1-DJN9MzD7ctY.pt-BR.vtt |
4.43Кб |
| 08. 6 Defining Context Targets V1-DJN9MzD7ctY.zh-CN.vtt |
3.94Кб |
| 08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.en.vtt |
5.04Кб |
| 08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.mp4 |
5.48Мб |
| 08. 7 PaddedFeatures Sol V1-sYOd1IDmep8.zh-CN.vtt |
4.19Кб |
| 08. Advanced Optimization Exercise.html |
7.69Кб |
| 08. Aggregation 2.html |
8.63Кб |
| 08. Aggregation 2-udXhxyls5Dw.ar.vtt |
166б |
| 08. Aggregation 2-udXhxyls5Dw.en.vtt |
155б |
| 08. Aggregation 2-udXhxyls5Dw.hr.vtt |
149б |
| 08. Aggregation 2-udXhxyls5Dw.it.vtt |
151б |
| 08. Aggregation 2-udXhxyls5Dw.ja.vtt |
137б |
| 08. Aggregation 2-udXhxyls5Dw.mp4 |
751.89Кб |
| 08. Aggregation 2-udXhxyls5Dw.pt-BR.vtt |
168б |
| 08. Aggregation 2-udXhxyls5Dw.zh-CN.vtt |
155б |
| 08. Aggregation 2-xhpEqsHTf3g.ar.vtt |
184б |
| 08. Aggregation 2-xhpEqsHTf3g.en.vtt |
148б |
| 08. Aggregation 2-xhpEqsHTf3g.hr.vtt |
163б |
| 08. Aggregation 2-xhpEqsHTf3g.it.vtt |
187б |
| 08. Aggregation 2-xhpEqsHTf3g.ja.vtt |
156б |
| 08. Aggregation 2-xhpEqsHTf3g.mp4 |
719.39Кб |
| 08. Aggregation 2-xhpEqsHTf3g.pt-BR.vtt |
173б |
| 08. Aggregation 2-xhpEqsHTf3g.zh-CN.vtt |
126б |
| 08. Answer Variance and Preferred Gaussian.html |
9.07Кб |
| 08. Bayesian Learning 1.html |
10.18Кб |
| 08. Bayes Rule Diagram.html |
9.52Кб |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.ar.vtt |
2.42Кб |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.en.vtt |
1.92Кб |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.es-ES.vtt |
1.95Кб |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.it.vtt |
2.09Кб |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.ja.vtt |
1.98Кб |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.mp4 |
12.52Мб |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.pt-BR.vtt |
2.17Кб |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.th.vtt |
3.48Кб |
| 08. Bayes Rule Diagram-b8M9CWxRyQ4.zh-CN.vtt |
1.70Кб |
| 08. Calculate a Covariance Matrix.html |
9.11Кб |
| 08. Career Support.html |
7.96Кб |
| 08. Click Through Rate.html |
8.48Кб |
| 08. Clustering Stocks.html |
6.57Кб |
| 08. Conclusion.html |
6.20Кб |
| 08. Context Word Targets.html |
8.49Кб |
| 08. Continuous vs. Discrete Data-BzgZebZD9kk.ar.vtt |
2.23Кб |
| 08. Continuous vs. Discrete Data-BzgZebZD9kk.en.vtt |
1.54Кб |
| 08. Continuous vs. Discrete Data-BzgZebZD9kk.mp4 |
3.81Мб |
| 08. Continuous vs. Discrete Data-BzgZebZD9kk.pt-BR.vtt |
1.70Кб |
| 08. Continuous vs. Discrete Data-BzgZebZD9kk.zh-CN.vtt |
1.37Кб |
| 08. Creating pandas DataFrames.html |
22.24Кб |
| 08. Documentation-_Vl9NJkA6JQ.ar.vtt |
3.42Кб |
| 08. Documentation-_Vl9NJkA6JQ.en.vtt |
2.70Кб |
| 08. Documentation-_Vl9NJkA6JQ.mp4 |
15.93Мб |
| 08. Documentation-_Vl9NJkA6JQ.pt-BR.vtt |
3.03Кб |
| 08. Documentation-_Vl9NJkA6JQ.zh-CN.vtt |
2.36Кб |
| 08. Documentation.html |
9.45Кб |
| 08. Dropout.html |
6.78Кб |
| 08. Dropout-Ty6K6YiGdBs.en.vtt |
4.71Кб |
| 08. Dropout-Ty6K6YiGdBs.mp4 |
4.22Мб |
| 08. Dropout-Ty6K6YiGdBs.pt-BR.vtt |
4.66Кб |
| 08. Dropout-Ty6K6YiGdBs.zh-CN.vtt |
4.06Кб |
| 08. Embeddings for Deep Learning.html |
6.23Кб |
| 08. Embeddings For Deep Learning-gj8u1KG0H2w.en.vtt |
5.11Кб |
| 08. Embeddings For Deep Learning-gj8u1KG0H2w.mp4 |
4.70Мб |
| 08. Embeddings For Deep Learning-gj8u1KG0H2w.pt-BR.vtt |
5.60Кб |
| 08. Embeddings For Deep Learning-gj8u1KG0H2w.zh-CN.vtt |
4.70Кб |
| 08. Entropy Formula 1.html |
9.11Кб |
| 08. Entropy Formula-iZiSYrOKvpo.en.vtt |
1.80Кб |
| 08. Entropy Formula-iZiSYrOKvpo.mp4 |
4.30Мб |
| 08. Entropy Formula-iZiSYrOKvpo.pt-BR.vtt |
1.69Кб |
| 08. Entropy Formula-iZiSYrOKvpo.zh-CN.vtt |
1.77Кб |
| 08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.ar.vtt |
1.06Кб |
| 08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.en.vtt |
821б |
| 08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.mp4 |
3.57Мб |
| 08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.pt-BR.vtt |
965б |
| 08. Example of Sampling Distributions - Part 3-E_4lvTWkSNI.zh-CN.vtt |
704б |
| 08. Exercise Bag of Words and Document Vector.html |
6.68Кб |
| 08. Exercise cvxpy.html |
7.15Кб |
| 08. Exercise Normality.html |
7.59Кб |
| 08. Exponentially Weighted Moving Average.html |
6.67Кб |
| 08. Fama French SMB and HML.html |
7.51Кб |
| 08. Finding MetaCharacters.html |
8.72Кб |
| 08. Formula.html |
9.13Кб |
| 08. Formula-DTdS-LlMTQ0.ar.vtt |
1.26Кб |
| 08. Formula-DTdS-LlMTQ0.en.vtt |
931б |
| 08. Formula-DTdS-LlMTQ0.es-ES.vtt |
948б |
| 08. Formula-DTdS-LlMTQ0.ja.vtt |
984б |
| 08. Formula-DTdS-LlMTQ0.mp4 |
10.75Мб |
| 08. Formula-DTdS-LlMTQ0.pt-BR.vtt |
1.19Кб |
| 08. Formula-DTdS-LlMTQ0.zh-CN.vtt |
695б |
| 08. Formula-yTr8zCHdo5M.ar.vtt |
334б |
| 08. Formula-yTr8zCHdo5M.en.vtt |
240б |
| 08. Formula-yTr8zCHdo5M.es-ES.vtt |
236б |
| 08. Formula-yTr8zCHdo5M.ja.vtt |
217б |
| 08. Formula-yTr8zCHdo5M.mp4 |
1.28Мб |
| 08. Formula-yTr8zCHdo5M.pt-BR.vtt |
249б |
| 08. Formula-yTr8zCHdo5M.zh-CN.vtt |
215б |
| 08. Gradient Boosting.html |
8.02Кб |
| 08. Gradient Descent.html |
7.56Кб |
| 08. Gradient Descent-4s4x9h6AN5Y.en.vtt |
5.61Кб |
| 08. Gradient Descent-4s4x9h6AN5Y.mp4 |
4.25Мб |
| 08. Gradient Descent-4s4x9h6AN5Y.pt-BR.vtt |
5.23Кб |
| 08. Handling Outliers in Signal Returns.html |
6.34Кб |
| 08. How NLP Pipelines Work.html |
6.39Кб |
| 08. Integers and Floats.html |
13.33Кб |
| 08. Jonathan Larkin Careers-QhHNPxM_Ku4.en.vtt |
4.95Кб |
| 08. Jonathan Larkin Careers-QhHNPxM_Ku4.mp4 |
17.97Мб |
| 08. Keyboard shortcuts.html |
6.62Кб |
| 08. L1 09 Price Weighting V2-2SFbwJ19NhA.en.vtt |
812б |
| 08. L1 09 Price Weighting V2-2SFbwJ19NhA.mp4 |
1.91Мб |
| 08. L2 10 Lower Operational Costs And Taxes V2-UlJusglK0h0.en.vtt |
1.47Кб |
| 08. L2 10 Lower Operational Costs And Taxes V2-UlJusglK0h0.mp4 |
4.16Мб |
| 08. L4 15 HS Outofbag Score V4-CcdXrGYaOhE.en.vtt |
2.21Кб |
| 08. L4 15 HS Outofbag Score V4-CcdXrGYaOhE.mp4 |
5.86Мб |
| 08. L6 11 HS Foreshadow V2-iXqYUwpFTqs.en.vtt |
1.69Кб |
| 08. L6 11 HS Foreshadow V2-iXqYUwpFTqs.mp4 |
5.31Мб |
| 08. Linear Combination - Quiz 3.html |
8.63Кб |
| 08. Lower Operational Costs Taxes.html |
7.66Кб |
| 08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt |
1.75Кб |
| 08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4 |
1.50Мб |
| 08. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt |
1.73Кб |
| 08. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt |
1.50Кб |
| 08. M1L3 10 Volume V3-DFp7kp0xRCo.en.vtt |
5.12Кб |
| 08. M1L3 10 Volume V3-DFp7kp0xRCo.mp4 |
4.37Мб |
| 08. M1L4 11 Survivor Bias V2-39MeCCw5ndM.en.vtt |
1.61Кб |
| 08. M1L4 11 Survivor Bias V2-39MeCCw5ndM.mp4 |
4.52Мб |
| 08. M2L2 07 Handling Outliers In Signal Returns V4-ILdnNi4CgZM.en.vtt |
4.55Кб |
| 08. M2L2 07 Handling Outliers In Signal Returns V4-ILdnNi4CgZM.mp4 |
7.30Мб |
| 08. M2L4 09 Recurrent Neural Networks V5-5cYAAHyRHDo.en.vtt |
3.77Кб |
| 08. M2L4 09 Recurrent Neural Networks V5-5cYAAHyRHDo.mp4 |
7.74Мб |
| 08. M2L5 07 Exponentially Weighted Moving Average V4-VBPitTHzYRI.en.vtt |
4.15Кб |
| 08. M2L5 07 Exponentially Weighted Moving Average V4-VBPitTHzYRI.mp4 |
8.13Мб |
| 08. M2L6 11 Clustering Stocks V3-LkgCK_qPqWE.en.vtt |
1.37Кб |
| 08. M2L6 11 Clustering Stocks V3-LkgCK_qPqWE.mp4 |
1.44Мб |
| 08. M4 L1A 07 Rescale Part 1 V2-BcsxA0vy3jA.en.vtt |
3.46Кб |
| 08. M4 L1A 07 Rescale Part 1 V2-BcsxA0vy3jA.mp4 |
4.52Мб |
| 08. M4 L1B 07 Risk Factors V Alpha Factors V2-9KUpH1MDC1k.en.vtt |
4.63Кб |
| 08. M4 L1B 07 Risk Factors V Alpha Factors V2-9KUpH1MDC1k.mp4 |
15.23Мб |
| 08. M4 L2A 05 Covariance Matrix Of Factors V3-llA1A0vjSuI.en.vtt |
2.17Кб |
| 08. M4 L2A 05 Covariance Matrix Of Factors V3-llA1A0vjSuI.mp4 |
2.72Мб |
| 08. M4 L2A 19 Fama French SMB And HML V2-fnncnimScFc.en.vtt |
2.65Кб |
| 08. M4 L2A 19 Fama French SMB And HML V2-fnncnimScFc.mp4 |
2.71Мб |
| 08. M4 L2b 08 Writing It Down Pt 1 V3-NyDNFqm8c_s.en.vtt |
2.69Кб |
| 08. M4 L2b 08 Writing It Down Pt 1 V3-NyDNFqm8c_s.mp4 |
5.43Мб |
| 08. M4 L3b 06 Winners And Losers In Momentum Investing V2-84ygzbLENbE.en.vtt |
2.10Кб |
| 08. M4 L3b 06 Winners And Losers In Momentum Investing V2-84ygzbLENbE.mp4 |
2.01Мб |
| 08. M5 SC 3 Finding Metacharacters V1-RiSVD9E823Q.en.vtt |
2.01Кб |
| 08. M5 SC 3 Finding Metacharacters V1-RiSVD9E823Q.mp4 |
4.00Мб |
| 08. M7L5 15 V1 (1)-Q5CZxxKXAB8.en.vtt |
1.39Кб |
| 08. M7L5 15 V1 (1)-Q5CZxxKXAB8.mp4 |
7.39Мб |
| 08. M7L5 16 Sector Intro Part 2 V1-DmYfsKS6kRM.en.vtt |
2.79Кб |
| 08. M7L5 16 Sector Intro Part 2 V1-DmYfsKS6kRM.mp4 |
4.49Мб |
| 08. M7L5 16 Sector Intro Part 3 V1-sywFquETqso.en.vtt |
856б |
| 08. M7L5 16 Sector Intro Part 3 V1-sywFquETqso.mp4 |
1.06Мб |
| 08. M7L5 16 Sector Intro V2-NSp_qX8s_B0.en.vtt |
2.06Кб |
| 08. M7L5 16 Sector Intro V2-NSp_qX8s_B0.mp4 |
5.35Мб |
| 08. M7L5 17 Sector Solution V1-I9iFbxzIu60.en.vtt |
1.80Кб |
| 08. M7L5 17 Sector Solution V1-I9iFbxzIu60.mp4 |
2.42Мб |
| 08. M8l2 10 Linear Impact V2-ntAIxAOzQQM.en.vtt |
3.48Кб |
| 08. M8l2 10 Linear Impact V2-ntAIxAOzQQM.mp4 |
3.34Мб |
| 08. Match Points (again).html |
10.25Кб |
| 08. Match Points (again)-5j6VZr8sHo8.ar.vtt |
1.59Кб |
| 08. Match Points (again)-5j6VZr8sHo8.en.vtt |
1.22Кб |
| 08. Match Points (again)-5j6VZr8sHo8.mp4 |
5.13Мб |
| 08. Match Points (again)-5j6VZr8sHo8.pt-BR.vtt |
1.28Кб |
| 08. Match Points (again)-5j6VZr8sHo8.zh-CN.vtt |
1.01Кб |
| 08. Match Points (again)-9J3IwQFXveI.ar.vtt |
510б |
| 08. Match Points (again)-9J3IwQFXveI.en.vtt |
355б |
| 08. Match Points (again)-9J3IwQFXveI.mp4 |
1.06Мб |
| 08. Match Points (again)-9J3IwQFXveI.pt-BR.vtt |
369б |
| 08. Match Points (again)-9J3IwQFXveI.zh-CN.vtt |
355б |
| 08. Matrix Multiplication Quiz.html |
9.93Кб |
| 08. Maximum.html |
8.94Кб |
| 08. Maximum-02v8ui9riew.ar.vtt |
1.62Кб |
| 08. Maximum-02v8ui9riew.en.vtt |
1.27Кб |
| 08. Maximum-02v8ui9riew.es-ES.vtt |
1.28Кб |
| 08. Maximum-02v8ui9riew.ja.vtt |
1.10Кб |
| 08. Maximum-02v8ui9riew.mp4 |
6.58Мб |
| 08. Maximum-02v8ui9riew.pt-BR.vtt |
1.29Кб |
| 08. Maximum-02v8ui9riew.zh-CN.vtt |
1.06Кб |
| 08. Maximum-MZoYGBZTh-g.ar.vtt |
684б |
| 08. Maximum-MZoYGBZTh-g.en.vtt |
599б |
| 08. Maximum-MZoYGBZTh-g.es-ES.vtt |
629б |
| 08. Maximum-MZoYGBZTh-g.ja.vtt |
589б |
| 08. Maximum-MZoYGBZTh-g.mp4 |
2.67Мб |
| 08. Maximum-MZoYGBZTh-g.pt-BR.vtt |
736б |
| 08. Maximum-MZoYGBZTh-g.zh-CN.vtt |
574б |
| 08. Medical Example 7.html |
9.35Кб |
| 08. Medical Example 7-cw_zgQbAWNU.ar.vtt |
238б |
| 08. Medical Example 7-cw_zgQbAWNU.en.vtt |
167б |
| 08. Medical Example 7-cw_zgQbAWNU.es-ES.vtt |
174б |
| 08. Medical Example 7-cw_zgQbAWNU.it.vtt |
171б |
| 08. Medical Example 7-cw_zgQbAWNU.ja.vtt |
187б |
| 08. Medical Example 7-cw_zgQbAWNU.mp4 |
803.67Кб |
| 08. Medical Example 7-cw_zgQbAWNU.pt-BR.vtt |
183б |
| 08. Medical Example 7-cw_zgQbAWNU.th.vtt |
228б |
| 08. Medical Example 7-cw_zgQbAWNU.zh-CN.vtt |
152б |
| 08. Medical Example 7-jPspIs-fNxg.ar.vtt |
399б |
| 08. Medical Example 7-jPspIs-fNxg.en.vtt |
325б |
| 08. Medical Example 7-jPspIs-fNxg.es-ES.vtt |
350б |
| 08. Medical Example 7-jPspIs-fNxg.it.vtt |
314б |
| 08. Medical Example 7-jPspIs-fNxg.ja.vtt |
260б |
| 08. Medical Example 7-jPspIs-fNxg.mp4 |
1.29Мб |
| 08. Medical Example 7-jPspIs-fNxg.pt-BR.vtt |
293б |
| 08. Medical Example 7-jPspIs-fNxg.th.vtt |
548б |
| 08. Medical Example 7-jPspIs-fNxg.zh-CN.vtt |
304б |
| 08. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.en.vtt |
2.98Кб |
| 08. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.mp4 |
2.17Мб |
| 08. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.pt-BR.vtt |
2.96Кб |
| 08. Natural Language Processing-UQBxJzoCp-I.en.vtt |
1.17Кб |
| 08. Natural Language Processing-UQBxJzoCp-I.mp4 |
3.39Мб |
| 08. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt |
1.30Кб |
| 08. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt |
1.03Кб |
| 08. Neural Networks in PyTorch.html |
8.70Кб |
| 08. NLP and Pipelines.html |
6.48Кб |
| 08. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt |
1.74Кб |
| 08. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4 |
1.28Мб |
| 08. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.pt-BR.vtt |
1.88Кб |
| 08. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt |
1.53Кб |
| 08. Números inteiros e floats-MiJ1vfWp-Ts.ar.vtt |
6.62Кб |
| 08. Números inteiros e floats-MiJ1vfWp-Ts.en.vtt |
4.83Кб |
| 08. Números inteiros e floats-MiJ1vfWp-Ts.mp4 |
15.41Мб |
| 08. Números inteiros e floats-MiJ1vfWp-Ts.pt-BR.vtt |
5.02Кб |
| 08. Números inteiros e floats-MiJ1vfWp-Ts.zh-CN.vtt |
4.27Кб |
| 08. NumPy 4 V1-jeU7lLgyMms.en.vtt |
8.00Кб |
| 08. NumPy 4 V1-jeU7lLgyMms.mp4 |
9.80Мб |
| 08. NumPy 4 V1-jeU7lLgyMms.pt-BR.vtt |
8.41Кб |
| 08. NumPy 4 V1-jeU7lLgyMms.zh-CN.vtt |
7.24Кб |
| 08. Operations in the Field.html |
7.78Кб |
| 08. Outro.html |
5.69Кб |
| 08. Padded Features, Solution.html |
6.73Кб |
| 08. Pandas 4 V1-eMHUn9v9dds.en.vtt |
6.89Кб |
| 08. Pandas 4 V1-eMHUn9v9dds.mp4 |
6.93Мб |
| 08. Pandas 4 V1-eMHUn9v9dds.pt-BR.vtt |
8.18Кб |
| 08. Pandas 4 V1-eMHUn9v9dds.zh-CN.vtt |
6.13Кб |
| 08. Part-of-Speech Tagging.html |
7.15Кб |
| 08. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt |
1.67Кб |
| 08. Part-of-Speech Tagging-WFEu8bXI5OA.mp4 |
2.15Мб |
| 08. Part-of-Speech Tagging-WFEu8bXI5OA.pt-BR.vtt |
1.99Кб |
| 08. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt |
1.48Кб |
| 08. Preview of Portfolio Variance Formula.html |
7.83Кб |
| 08. Price Weighting.html |
8.46Кб |
| 08. Python Probability Conclusion-4JYar5GykXk.ar.vtt |
851б |
| 08. Python Probability Conclusion-4JYar5GykXk.en.vtt |
690б |
| 08. Python Probability Conclusion-4JYar5GykXk.mp4 |
2.05Мб |
| 08. Python Probability Conclusion-4JYar5GykXk.pt-BR.vtt |
769б |
| 08. Python Probability Conclusion-4JYar5GykXk.zh-CN.vtt |
617б |
| 08. PyTorch V2 Part 2 V1-CSQOdOb2mlg.en.vtt |
5.83Кб |
| 08. PyTorch V2 Part 2 V1-CSQOdOb2mlg.mp4 |
10.00Мб |
| 08. PyTorch V2 Part 2 V1-CSQOdOb2mlg.zh-CN.vtt |
4.79Кб |
| 08. Quick Fixes #2.html |
8.71Кб |
| 08. Quick Fixes #2-It6AEuSDQw0.ar.vtt |
608б |
| 08. Quick Fixes #2-It6AEuSDQw0.en.vtt |
435б |
| 08. Quick Fixes #2-It6AEuSDQw0.ja-JP.vtt |
484б |
| 08. Quick Fixes #2-It6AEuSDQw0.mp4 |
2.25Мб |
| 08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt |
453б |
| 08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt |
410б |
| 08. Quiz Boolean Expressions for Conditions.html |
17.60Кб |
| 08. Quiz Calculate Top and Bottom Performing.html |
7.36Кб |
| 08. Quiz Pipeline Steps.html |
9.57Кб |
| 08. Quiz Types of Errors - Part I.html |
11.73Кб |
| 08. Recurrent Neural Networks.html |
6.43Кб |
| 08. Rescale part 1.html |
6.99Кб |
| 08. Risk Factors v. Alpha Factors.html |
9.28Кб |
| 08. Scripting with Raw Input.html |
10.10Кб |
| 08. Scripting With Raw Input-Fs9uLV2qfgI.ar.vtt |
3.88Кб |
| 08. Scripting With Raw Input-Fs9uLV2qfgI.en.vtt |
2.73Кб |
| 08. Scripting With Raw Input-Fs9uLV2qfgI.mp4 |
5.25Мб |
| 08. Scripting With Raw Input-Fs9uLV2qfgI.pt-BR.vtt |
3.28Кб |
| 08. Scripting With Raw Input-Fs9uLV2qfgI.zh-CN.vtt |
2.49Кб |
| 08. Sector.html |
7.84Кб |
| 08. Sector Neutral Exercise.html |
12.21Кб |
| 08. Shap Exercise.html |
7.85Кб |
| 08. Slicing ndarrays.html |
16.98Кб |
| 08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt |
2.38Кб |
| 08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4 |
6.09Мб |
| 08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.pt-BR.vtt |
2.22Кб |
| 08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.zh-CN.vtt |
2.21Кб |
| 08. Solution Student Admissions.html |
8.24Кб |
| 08. Standard Deviation Calculation-H5zA1A-XPoY.ar.vtt |
4.83Кб |
| 08. Standard Deviation Calculation-H5zA1A-XPoY.en.vtt |
3.67Кб |
| 08. Standard Deviation Calculation-H5zA1A-XPoY.mp4 |
6.78Мб |
| 08. Standard Deviation Calculation-H5zA1A-XPoY.pt-BR.vtt |
3.93Кб |
| 08. Standard Deviation Calculation-H5zA1A-XPoY.zh-CN.vtt |
2.97Кб |
| 08. Statistical vs. Practical Differences-RKHD1wzxxPA.en.vtt |
3.13Кб |
| 08. Statistical vs. Practical Differences-RKHD1wzxxPA.mp4 |
8.26Мб |
| 08. Statistical vs. Practical Differences-RKHD1wzxxPA.pt-BR.vtt |
3.31Кб |
| 08. Statistical vs. Practical Differences-RKHD1wzxxPA.zh-CN.vtt |
2.60Кб |
| 08. Student Admissions-TdgBi6LtOB8.en.vtt |
2.50Кб |
| 08. Student Admissions-TdgBi6LtOB8.mp4 |
5.41Мб |
| 08. Student Admissions-TdgBi6LtOB8.pt-BR.vtt |
2.31Кб |
| 08. Student Admissions-TdgBi6LtOB8.zh-CN.vtt |
2.34Кб |
| 08. Survivor Bias.html |
6.58Кб |
| 08. The Out-of-Bag Estimate.html |
6.38Кб |
| 08. The Use Gate.html |
7.98Кб |
| 08. Transaction cost formula.html |
7.32Кб |
| 08. Two Flips 1.html |
9.50Кб |
| 08. Two Flips 1-1txkcmxk3vU.ar.vtt |
2.19Кб |
| 08. Two Flips 1-1txkcmxk3vU.en.vtt |
1.72Кб |
| 08. Two Flips 1-1txkcmxk3vU.es-ES.vtt |
1.79Кб |
| 08. Two Flips 1-1txkcmxk3vU.hr.vtt |
1.68Кб |
| 08. Two Flips 1-1txkcmxk3vU.it.vtt |
1.87Кб |
| 08. Two Flips 1-1txkcmxk3vU.ja.vtt |
1.62Кб |
| 08. Two Flips 1-1txkcmxk3vU.mp4 |
4.01Мб |
| 08. Two Flips 1-1txkcmxk3vU.pt-BR.vtt |
1.91Кб |
| 08. Two Flips 1-1txkcmxk3vU.th.vtt |
3.35Кб |
| 08. Two Flips 1-1txkcmxk3vU.zh-CN.vtt |
1.45Кб |
| 08. Two Flips 1-yUIz7SgUwJg.ar.vtt |
663б |
| 08. Two Flips 1-yUIz7SgUwJg.en.vtt |
495б |
| 08. Two Flips 1-yUIz7SgUwJg.es-ES.vtt |
535б |
| 08. Two Flips 1-yUIz7SgUwJg.hr.vtt |
530б |
| 08. Two Flips 1-yUIz7SgUwJg.it.vtt |
552б |
| 08. Two Flips 1-yUIz7SgUwJg.ja.vtt |
532б |
| 08. Two Flips 1-yUIz7SgUwJg.mp4 |
3.42Мб |
| 08. Two Flips 1-yUIz7SgUwJg.pt-BR.vtt |
530б |
| 08. Two Flips 1-yUIz7SgUwJg.th.vtt |
1021б |
| 08. Two Flips 1-yUIz7SgUwJg.zh-CN.vtt |
516б |
| 08. Understanding Portfolio Characteristics.html |
6.93Кб |
| 08. Video Data Types (Continuous vs. Discrete).html |
9.78Кб |
| 08. Video Introduction to Sampling Distributions Part III.html |
9.94Кб |
| 08. Video Standard Deviation Calculation.html |
10.07Кб |
| 08. Video Statistical vs. Practical Significance.html |
8.87Кб |
| 08. Volume.html |
6.04Кб |
| 08. When accuracy won't work.html |
7.51Кб |
| 08. When Accuracy Wont Work-r0-O-gIDXZ0.en.vtt |
2.81Кб |
| 08. When Accuracy Wont Work-r0-O-gIDXZ0.mp4 |
2.15Мб |
| 08. When Accuracy Wont Work-r0-O-gIDXZ0.pt-BR.vtt |
2.79Кб |
| 08. Whitespace-UxkIwcOczQQ.ar.vtt |
3.96Кб |
| 08. Whitespace-UxkIwcOczQQ.en.vtt |
2.99Кб |
| 08. Whitespace-UxkIwcOczQQ.mp4 |
20.96Мб |
| 08. Whitespace-UxkIwcOczQQ.pt-BR.vtt |
3.23Кб |
| 08. Whitespace-UxkIwcOczQQ.zh-CN.vtt |
2.63Кб |
| 08. Why Neural Networks.html |
9.30Кб |
| 08. Why Neural Networks.html |
9.32Кб |
| 08. Winners and Losers in Momentum Investing.html |
11.59Кб |
| 08. Work Experiences Accomplishments.html |
9.70Кб |
| 08. Writing it Down Part 1.html |
7.10Кб |
| 08. 为何是神经网络-zAkzOZntK6Y.en.vtt |
1.38Кб |
| 08. 为何是神经网络-zAkzOZntK6Y.en.vtt |
1.38Кб |
| 08. 为何是神经网络-zAkzOZntK6Y.ja-JP.vtt |
1.63Кб |
| 08. 为何是神经网络-zAkzOZntK6Y.ja-JP.vtt |
1.63Кб |
| 08. 为何是神经网络-zAkzOZntK6Y.mp4 |
982.27Кб |
| 08. 为何是神经网络-zAkzOZntK6Y.mp4 |
982.27Кб |
| 08. 为何是神经网络-zAkzOZntK6Y.pt-BR.vtt |
1.27Кб |
| 08. 为何是神经网络-zAkzOZntK6Y.pt-BR.vtt |
1.27Кб |
| 08. 为何是神经网络-zAkzOZntK6Y.zh-CN.vtt |
1.19Кб |
| 08. 为何是神经网络-zAkzOZntK6Y.zh-CN.vtt |
1.19Кб |
| 08-identify-pairs-to-trade.png |
162.42Кб |
| 09. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.en.vtt |
2.88Кб |
| 09. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.mp4 |
2.22Мб |
| 09. 04 Quiz False Negatives And Positives SC V1-_ytP9zIkziw.pt-BR.vtt |
2.67Кб |
| 09. 09. Training a Model-m4GVfwVkj74.en.vtt |
2.98Кб |
| 09. 09. Training a Model-m4GVfwVkj74.mp4 |
8.01Мб |
| 09. 09. Training a Model-m4GVfwVkj74.zh-CN.vtt |
2.59Кб |
| 09. 7 Batching Data Solution V1-nu2rjLzt1HI.en.vtt |
5.28Кб |
| 09. 7 Batching Data Solution V1-nu2rjLzt1HI.mp4 |
6.06Мб |
| 09. 7 Batching Data Solution V1-nu2rjLzt1HI.pt-BR.vtt |
5.21Кб |
| 09. 7 Batching Data Solution V1-nu2rjLzt1HI.zh-CN.vtt |
4.61Кб |
| 09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.en.vtt |
6.61Кб |
| 09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.mp4 |
9.01Мб |
| 09. 8 TensorDataset Batching V1-Oxuf2QIPjj4.zh-CN.vtt |
5.66Кб |
| 09. Accessing Elements in pandas DataFrames.html |
30.16Кб |
| 09. Access the Career Portal.html |
8.63Кб |
| 09. Aggregation 3.html |
8.63Кб |
| 09. Aggregation 3-tPSj6_m-0_M.ar.vtt |
92б |
| 09. Aggregation 3-tPSj6_m-0_M.en.vtt |
86б |
| 09. Aggregation 3-tPSj6_m-0_M.hr.vtt |
83б |
| 09. Aggregation 3-tPSj6_m-0_M.it.vtt |
87б |
| 09. Aggregation 3-tPSj6_m-0_M.ja.vtt |
88б |
| 09. Aggregation 3-tPSj6_m-0_M.mp4 |
220.29Кб |
| 09. Aggregation 3-tPSj6_m-0_M.pt-BR.vtt |
89б |
| 09. Aggregation 3-tPSj6_m-0_M.zh-CN.vtt |
84б |
| 09. Aggregation 3-YkaVgZ-yFrM.ar.vtt |
420б |
| 09. Aggregation 3-YkaVgZ-yFrM.en.vtt |
317б |
| 09. Aggregation 3-YkaVgZ-yFrM.hr.vtt |
319б |
| 09. Aggregation 3-YkaVgZ-yFrM.it.vtt |
307б |
| 09. Aggregation 3-YkaVgZ-yFrM.ja.vtt |
305б |
| 09. Aggregation 3-YkaVgZ-yFrM.mp4 |
2.16Мб |
| 09. Aggregation 3-YkaVgZ-yFrM.pt-BR.vtt |
349б |
| 09. Aggregation 3-YkaVgZ-yFrM.zh-CN.vtt |
293б |
| 09. AIT M5L5 99 Summary V1-ThLOv6gDyHI.en.vtt |
563б |
| 09. AIT M5L5 99 Summary V1-ThLOv6gDyHI.mp4 |
2.82Мб |
| 09. Alternative Ways of Setting Up the Problem.html |
11.14Кб |
| 09. Arbitrage.html |
7.13Кб |
| 09. Arrangements.html |
8.58Кб |
| 09. Arrangements-GeINbOOYkF8.ar.vtt |
2.27Кб |
| 09. Arrangements-GeINbOOYkF8.en.vtt |
1.63Кб |
| 09. Arrangements-GeINbOOYkF8.es-ES.vtt |
1.69Кб |
| 09. Arrangements-GeINbOOYkF8.ja.vtt |
1.70Кб |
| 09. Arrangements-GeINbOOYkF8.mp4 |
15.95Мб |
| 09. Arrangements-GeINbOOYkF8.pt-BR.vtt |
1.92Кб |
| 09. Arrangements-GeINbOOYkF8.zh-CN.vtt |
1.28Кб |
| 09. Arrangements-NRPcnpmFCg8.ar.vtt |
656б |
| 09. Arrangements-NRPcnpmFCg8.en.vtt |
453б |
| 09. Arrangements-NRPcnpmFCg8.es-ES.vtt |
493б |
| 09. Arrangements-NRPcnpmFCg8.ja.vtt |
473б |
| 09. Arrangements-NRPcnpmFCg8.mp4 |
2.07Мб |
| 09. Arrangements-NRPcnpmFCg8.pt-BR.vtt |
599б |
| 09. Arrangements-NRPcnpmFCg8.zh-CN.vtt |
364б |
| 09. Batching Data, Solution.html |
7.11Кб |
| 09. Bayesian Learning 2.html |
6.97Кб |
| 09. Boolean Indexing, Set Operations, and Sorting.html |
13.97Кб |
| 09. Build and Strengthen Your Network.html |
10.65Кб |
| 09. Data Types Summary-T-KrQoAJUpI.ar.vtt |
1.14Кб |
| 09. Data Types Summary-T-KrQoAJUpI.en.vtt |
828б |
| 09. Data Types Summary-T-KrQoAJUpI.mp4 |
2.21Мб |
| 09. Data Types Summary-T-KrQoAJUpI.pt-BR.vtt |
919б |
| 09. Data Types Summary-T-KrQoAJUpI.zh-CN.vtt |
775б |
| 09. Date Parts.html |
8.45Кб |
| 09. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.en.vtt |
3.33Кб |
| 09. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.en.vtt |
3.33Кб |
| 09. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.mp4 |
2.73Мб |
| 09. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.mp4 |
2.73Мб |
| 09. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.zh-CN.vtt |
2.48Кб |
| 09. DL 08 AND And OR Perceptrons-Y-ImuxNpS40.zh-CN.vtt |
2.48Кб |
| 09. DL 09 XOR Perceptron--z9K49fdE3g.mp4 |
511.79Кб |
| 09. DL 09 XOR Perceptron--z9K49fdE3g.mp4 |
511.79Кб |
| 09. Entropy.html |
7.92Кб |
| 09. Entropy Formula 2.html |
8.65Кб |
| 09. Entropy-piLpj1V1HEk.en.vtt |
4.78Кб |
| 09. Entropy-piLpj1V1HEk.mp4 |
12.59Мб |
| 09. Entropy-piLpj1V1HEk.pt-BR.vtt |
4.19Кб |
| 09. Entropy-piLpj1V1HEk.zh-CN.vtt |
4.32Кб |
| 09. Equivalent Diagram.html |
9.81Кб |
| 09. Equivalent Diagram-aUFWZ2uJuBE.ar.vtt |
1.44Кб |
| 09. Equivalent Diagram-aUFWZ2uJuBE.en.vtt |
1.14Кб |
| 09. Equivalent Diagram-aUFWZ2uJuBE.en-GB.vtt |
1.93Кб |
| 09. Equivalent Diagram-aUFWZ2uJuBE.es-ES.vtt |
1.18Кб |
| 09. Equivalent Diagram-aUFWZ2uJuBE.it.vtt |
1.21Кб |
| 09. Equivalent Diagram-aUFWZ2uJuBE.ja.vtt |
1.08Кб |
| 09. Equivalent Diagram-aUFWZ2uJuBE.mp4 |
7.38Мб |
| 09. Equivalent Diagram-aUFWZ2uJuBE.pt-BR.vtt |
1.30Кб |
| 09. Equivalent Diagram-aUFWZ2uJuBE.zh-CN.vtt |
1014б |
| 09. Exercise cvxpy advanced optimization.html |
7.20Кб |
| 09. Experiment II.html |
8.07Кб |
| 09. Experiment II-fq4eO7CybA4.en.vtt |
1.08Кб |
| 09. Experiment II-fq4eO7CybA4.mp4 |
2.31Мб |
| 09. Experiment II-fq4eO7CybA4.pt-BR.vtt |
1.29Кб |
| 09. Experiment II-fq4eO7CybA4.zh-CN.vtt |
987б |
| 09. Factor Model of Portfolio Return Exercise.html |
7.94Кб |
| 09. False Negatives and Positives.html |
9.86Кб |
| 09. Fama French Risk Model.html |
8.42Кб |
| 09. Fundamental Information.html |
10.70Кб |
| 09. Gaps in Market Data.html |
6.60Кб |
| 09. Gaussian Function and Maximum.html |
10.38Кб |
| 09. Generating Robust Trading Signals.html |
6.30Кб |
| 09. Handoff to Katie.html |
7.24Кб |
| 09. Handoff to Katie-knrPsGtpyQY.ar.vtt |
258б |
| 09. Handoff to Katie-knrPsGtpyQY.en.vtt |
207б |
| 09. Handoff to Katie-knrPsGtpyQY.mp4 |
782.02Кб |
| 09. Handoff to Katie-knrPsGtpyQY.pt-BR.vtt |
204б |
| 09. Handoff to Katie-knrPsGtpyQY.zh-CN.vtt |
206б |
| 09. Heteroskedasticity.html |
7.85Кб |
| 09. How NLP Pipelines Work.html |
6.47Кб |
| 09. L1 10 Market Cap Weighting V2-7qVVA5yLFnY.en.vtt |
1.50Кб |
| 09. L1 10 Market Cap Weighting V2-7qVVA5yLFnY.mp4 |
4.15Мб |
| 09. L2 11 2 Arbitrage Farmers Market V1-hHxp16mQNGA.en.vtt |
2.64Кб |
| 09. L2 11 2 Arbitrage Farmers Market V1-hHxp16mQNGA.mp4 |
12.22Мб |
| 09. L2 11 Arbitrage V2-yp-CcGrMzYQ.en.vtt |
1.26Кб |
| 09. L2 11 Arbitrage V2-yp-CcGrMzYQ.mp4 |
3.53Мб |
| 09. Linear Transaction cost model.html |
8.03Кб |
| 09. Linear Transformation and Matrices . Part 1.html |
7.29Кб |
| 09. Linear Transformations 1-99jYIxBRDww.en.vtt |
5.54Кб |
| 09. Linear Transformations 1-99jYIxBRDww.mp4 |
20.77Мб |
| 09. Linear Transformations 1-99jYIxBRDww.pt-BR.vtt |
5.81Кб |
| 09. Linear Transformations 1-99jYIxBRDww.zh-CN.vtt |
4.67Кб |
| 09. Local Minima.html |
6.82Кб |
| 09. Local Minima-gF_sW_nY-xw.en.vtt |
1.14Кб |
| 09. Local Minima-gF_sW_nY-xw.mp4 |
819.86Кб |
| 09. Local Minima-gF_sW_nY-xw.pt-BR.vtt |
1.05Кб |
| 09. Local Minima-gF_sW_nY-xw.zh-CN.vtt |
1.01Кб |
| 09. M1L3 12 Gaps In Market Data V3-jMT3VbUGiZI.en.vtt |
3.28Кб |
| 09. M1L3 12 Gaps In Market Data V3-jMT3VbUGiZI.mp4 |
2.80Мб |
| 09. M1L6 09 Statistical Analysis V10-_p1m_q8jE6E.en.vtt |
6.22Кб |
| 09. M1L6 09 Statistical Analysis V10-_p1m_q8jE6E.mp4 |
6.26Мб |
| 09. M2L2 08 Generating Robust Trading Signals V3-1ikkZmVkjl0.en.vtt |
2.23Кб |
| 09. M2L2 08 Generating Robust Trading Signals V3-1ikkZmVkjl0.mp4 |
2.07Мб |
| 09. M2L3 08 Heteroskedasticity V2-wias9OZ1tU4.en.vtt |
1.33Кб |
| 09. M2L3 08 Heteroskedasticity V2-wias9OZ1tU4.mp4 |
2.15Мб |
| 09. M2L4 11 Outro V1-6sheR92KUU8.en.vtt |
425б |
| 09. M2L4 11 Outro V1-6sheR92KUU8.mp4 |
1.35Мб |
| 09. M2L6 13 Trade Pairs Of Stocks V6-i1yVMrgjtB0.en.vtt |
4.80Кб |
| 09. M2L6 13 Trade Pairs Of Stocks V6-i1yVMrgjtB0.mp4 |
6.32Мб |
| 09. M4 L1A 08 Rescale Part 2 V3-8Ix10U6MEug.en.vtt |
4.16Кб |
| 09. M4 L1A 08 Rescale Part 2 V3-8Ix10U6MEug.mp4 |
5.75Мб |
| 09. M4 L1B 08 Risk Factors V Alpha Factors Part 2 V2-AApfsuSpnMY.en.vtt |
2.48Кб |
| 09. M4 L1B 08 Risk Factors V Alpha Factors Part 2 V2-AApfsuSpnMY.mp4 |
7.70Мб |
| 09. M4 L2A 20 Fama French Risk Model V3-tepvGkpNKrI.en.vtt |
3.93Кб |
| 09. M4 L2A 20 Fama French Risk Model V3-tepvGkpNKrI.mp4 |
3.93Мб |
| 09. M4 L2b 09 Writing It Down Pt 2 V2-TSH3hTAHsIg.en.vtt |
2.89Кб |
| 09. M4 L2b 09 Writing It Down Pt 2 V2-TSH3hTAHsIg.mp4 |
2.77Мб |
| 09. M4 L3a 06 Ranking Part 1 V4-4j2hIB7WHY4.en.vtt |
3.96Кб |
| 09. M4 L3a 06 Ranking Part 1 V4-4j2hIB7WHY4.mp4 |
10.00Мб |
| 09. M4 L3b 07 Winners And Losers Accelerated And Decelerated Gains And Losses V2-cdSdKl4uxVM.en.vtt |
3.88Кб |
| 09. M4 L3b 07 Winners And Losers Accelerated And Decelerated Gains And Losses V2-cdSdKl4uxVM.mp4 |
4.71Мб |
| 09. M5 SC 4 Searching For Simple Patte V1-7RAHoJ34gXI.en.vtt |
5.34Кб |
| 09. M5 SC 4 Searching For Simple Patte V1-7RAHoJ34gXI.mp4 |
14.65Мб |
| 09. M7L5 18 V1-7LESwsbt70s.en.vtt |
3.83Кб |
| 09. M7L5 18 V1-7LESwsbt70s.mp4 |
21.98Мб |
| 09. M7L5 19 Dates Intro Part 1 V2-IXlHYPjcQ-o.en.vtt |
3.64Кб |
| 09. M7L5 19 Dates Intro Part 1 V2-IXlHYPjcQ-o.mp4 |
8.16Мб |
| 09. M7L5 19 Dates Intro Part 2 V1--I-jF0Ikli0.en.vtt |
1.51Кб |
| 09. M7L5 19 Dates Intro Part 2 V1--I-jF0Ikli0.mp4 |
2.17Мб |
| 09. M7L5 19 Dates Intro Part 3 V1-QOwy_XTIAes.en.vtt |
1.67Кб |
| 09. M7L5 19 Dates Intro Part 3 V1-QOwy_XTIAes.mp4 |
3.38Мб |
| 09. M7L5 19 Dates Intro Part 4 V1-Eg9DvNMi1v8.en.vtt |
2.77Кб |
| 09. M7L5 19 Dates Intro Part 4 V1-Eg9DvNMi1v8.mp4 |
5.77Мб |
| 09. M7L5 19 Dates Solution Part 1 V2-CliBAanDEhk.en.vtt |
2.40Кб |
| 09. M7L5 19 Dates Solution Part 1 V2-CliBAanDEhk.mp4 |
3.25Мб |
| 09. M7L5 19 Dates Solution Part 2 V1-UhtIVQ8YGvI.en.vtt |
3.68Кб |
| 09. M7L5 19 Dates Solution Part 2 V1-UhtIVQ8YGvI.mp4 |
9.73Мб |
| 09. M7L7 20 Shap Intro V1-AhZN3Bv_OCg.en.vtt |
5.21Кб |
| 09. M7L7 20 Shap Intro V1-AhZN3Bv_OCg.mp4 |
7.42Мб |
| 09. M7L7 21 Optional Explanation Part 1 V2-7shDUICrpro.en.vtt |
5.54Кб |
| 09. M7L7 21 Optional Explanation Part 1 V2-7shDUICrpro.mp4 |
7.15Мб |
| 09. M7L7 21 Optional Explanation Part 2 V1-zpn4NQNQJh8.en.vtt |
2.87Кб |
| 09. M7L7 21 Optional Explanation Part 2 V1-zpn4NQNQJh8.mp4 |
4.82Мб |
| 09. M7L7 21 Optional Explanation Part 3 V1-xkhSC032Fxs.en.vtt |
3.45Кб |
| 09. M7L7 21 Optional Explanation Part 3 V1-xkhSC032Fxs.mp4 |
5.26Мб |
| 09. M7L7 22 CaseA Part 1 V2-2X9531oXeJY.en.vtt |
5.52Кб |
| 09. M7L7 22 CaseA Part 1 V2-2X9531oXeJY.mp4 |
6.90Мб |
| 09. M7L7 22 CaseA Part 2 V1-Kuwa4DkNBZs.en.vtt |
4.30Кб |
| 09. M7L7 22 CaseA Part 2 V1-Kuwa4DkNBZs.mp4 |
8.88Мб |
| 09. M7L7 22 CaseA Part 3 V1-EM21p54qrp0.en.vtt |
3.73Кб |
| 09. M7L7 22 CaseA Part 3 V1-EM21p54qrp0.mp4 |
5.39Мб |
| 09. M7L7 23 CaseB Intro V1-8RKZrweh0Mw.en.vtt |
3.89Кб |
| 09. M7L7 23 CaseB Intro V1-8RKZrweh0Mw.mp4 |
5.84Мб |
| 09. M7L7 24 CaseB Solution T2 V1-lNlhJhtCdxE.en.vtt |
5.41Кб |
| 09. M7L7 24 CaseB Solution T2 V1-lNlhJhtCdxE.mp4 |
9.11Мб |
| 09. M7L7 25 CaseC Intro V1-C6i12sqcgtY.en.vtt |
1.77Кб |
| 09. M7L7 25 CaseC Intro V1-C6i12sqcgtY.mp4 |
2.45Мб |
| 09. M7L7 26 CaseC Solution V1-jcAiG0nLByI.en.vtt |
3.58Кб |
| 09. M7L7 26 CaseC Solution V1-jcAiG0nLByI.mp4 |
5.93Мб |
| 09. M7L7 27 CaseD Intro V1-Z9nChsPuIbY.en.vtt |
1.23Кб |
| 09. M7L7 27 CaseD Intro V1-Z9nChsPuIbY.mp4 |
1.28Мб |
| 09. M7L7 28 CaseD Solution V1-gRSj2_SBwnM.en.vtt |
2.63Кб |
| 09. M7L7 28 CaseD Solution V1-gRSj2_SBwnM.mp4 |
3.77Мб |
| 09. M7L7 29 Shapley Intro V1-yOfZDm99Vac.en.vtt |
2.52Кб |
| 09. M7L7 29 Shapley Intro V1-yOfZDm99Vac.mp4 |
4.23Мб |
| 09. M7L7 30 Shapley Solution V1-YmCSCA8Psgk.en.vtt |
836б |
| 09. M7L7 30 Shapley Solution V1-YmCSCA8Psgk.mp4 |
1.97Мб |
| 09. M7L7 32 Discussion Solution V1-pxmaMYOtNys.en.vtt |
2.24Кб |
| 09. M7L7 32 Discussion Solution V1-pxmaMYOtNys.mp4 |
3.16Мб |
| 09. M8l2 18 Linear Price Impact Part2 V2-aTNfxMjEg3w.en.vtt |
4.77Кб |
| 09. M8l2 18 Linear Price Impact Part2 V2-aTNfxMjEg3w.mp4 |
4.60Мб |
| 09. M8L4 010 Outro V1-PNnSfMm-7-s.en.vtt |
366б |
| 09. M8L4 010 Outro V1-PNnSfMm-7-s.mp4 |
1.63Мб |
| 09. Magic keywords.html |
10.64Кб |
| 09. Market Cap Weighting.html |
9.54Кб |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.en.vtt |
846б |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.es-ES.vtt |
869б |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.ja.vtt |
928б |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.ja-JP.vtt |
924б |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.mp4 |
8.34Мб |
| 09. Maximize Gaussian - Artificial Intelligence for Robotics-fRYtUP0P4Lg.zh-CN.vtt |
746б |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.en.vtt |
397б |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.es-ES.vtt |
408б |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.ja.vtt |
319б |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.ja-JP.vtt |
376б |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.mp4 |
1.52Мб |
| 09. Maximize Gaussian Solution - Artificial Intelligence for Robotics-2cD8T65E-jM.zh-CN.vtt |
349б |
| 09. Maximum Value.html |
8.40Кб |
| 09. Maximum Value-rjpcSymYulE.ar.vtt |
532б |
| 09. Maximum Value-rjpcSymYulE.en.vtt |
364б |
| 09. Maximum Value-rjpcSymYulE.es-ES.vtt |
389б |
| 09. Maximum Value-rjpcSymYulE.ja.vtt |
302б |
| 09. Maximum Value-rjpcSymYulE.mp4 |
771.83Кб |
| 09. Maximum Value-rjpcSymYulE.pt-BR.vtt |
377б |
| 09. Maximum Value-rjpcSymYulE.zh-CN.vtt |
328б |
| 09. Maximum Value-z_eElEkVOPY.ar.vtt |
497б |
| 09. Maximum Value-z_eElEkVOPY.en.vtt |
387б |
| 09. Maximum Value-z_eElEkVOPY.es-ES.vtt |
367б |
| 09. Maximum Value-z_eElEkVOPY.ja.vtt |
304б |
| 09. Maximum Value-z_eElEkVOPY.mp4 |
1.79Мб |
| 09. Maximum Value-z_eElEkVOPY.pt-BR.vtt |
422б |
| 09. Maximum Value-z_eElEkVOPY.zh-CN.vtt |
272б |
| 09. Mean Absolute Error.html |
7.58Кб |
| 09. Mean Absolute Error-vLKiY0Ehors.en.vtt |
3.52Кб |
| 09. Mean Absolute Error-vLKiY0Ehors.mp4 |
2.57Мб |
| 09. Mean Absolute Error-vLKiY0Ehors.pt-BR.vtt |
3.30Кб |
| 09. Measures of Spread (Calculation and Units).html |
10.85Кб |
| 09. Medical Example 8.html |
9.35Кб |
| 09. Medical Example 8-7k5oAaZamCA.ar.vtt |
516б |
| 09. Medical Example 8-7k5oAaZamCA.en.vtt |
416б |
| 09. Medical Example 8-7k5oAaZamCA.es-ES.vtt |
425б |
| 09. Medical Example 8-7k5oAaZamCA.it.vtt |
433б |
| 09. Medical Example 8-7k5oAaZamCA.ja.vtt |
390б |
| 09. Medical Example 8-7k5oAaZamCA.mp4 |
2.04Мб |
| 09. Medical Example 8-7k5oAaZamCA.pt-BR.vtt |
397б |
| 09. Medical Example 8-7k5oAaZamCA.th.vtt |
777б |
| 09. Medical Example 8-7k5oAaZamCA.zh-CN.vtt |
380б |
| 09. Medical Example 8-btGdX0ZpkNU.ar.vtt |
899б |
| 09. Medical Example 8-btGdX0ZpkNU.en.vtt |
704б |
| 09. Medical Example 8-btGdX0ZpkNU.es-ES.vtt |
728б |
| 09. Medical Example 8-btGdX0ZpkNU.it.vtt |
764б |
| 09. Medical Example 8-btGdX0ZpkNU.ja.vtt |
608б |
| 09. Medical Example 8-btGdX0ZpkNU.mp4 |
3.50Мб |
| 09. Medical Example 8-btGdX0ZpkNU.pt-BR.vtt |
589б |
| 09. Medical Example 8-btGdX0ZpkNU.th.vtt |
1.17Кб |
| 09. Medical Example 8-btGdX0ZpkNU.zh-CN.vtt |
629б |
| 09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.en.vtt |
4.88Кб |
| 09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.mp4 |
12.34Мб |
| 09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.pt-BR.vtt |
3.90Кб |
| 09. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.zh-CN.vtt |
4.42Кб |
| 09. Named Entity Recognition.html |
6.63Кб |
| 09. Named Entity Recognition-QUQu2nsE7vE.en.vtt |
1.10Кб |
| 09. Named Entity Recognition-QUQu2nsE7vE.mp4 |
1.17Мб |
| 09. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt |
1.25Кб |
| 09. Named Entity Recognition-QUQu2nsE7vE.zh-CN.vtt |
1.00Кб |
| 09. Neural Networks Solution.html |
8.70Кб |
| 09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt |
1.74Кб |
| 09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4 |
1.28Мб |
| 09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.pt-BR.vtt |
1.88Кб |
| 09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt |
1.53Кб |
| 09. Notebook + Quiz Sampling Distributions Python.html |
15.81Кб |
| 09. NumPy 5 V1-vGjI-WTnEbY.en.vtt |
4.20Кб |
| 09. NumPy 5 V1-vGjI-WTnEbY.mp4 |
5.09Мб |
| 09. NumPy 5 V1-vGjI-WTnEbY.pt-BR.vtt |
4.42Кб |
| 09. NumPy 5 V1-vGjI-WTnEbY.zh-CN.vtt |
3.92Кб |
| 09. Outro.html |
5.83Кб |
| 09. Overfitting Exercise.html |
6.76Кб |
| 09. Pandas 5 V1-lClsJnZn_7w.en.vtt |
5.96Кб |
| 09. Pandas 5 V1-lClsJnZn_7w.mp4 |
7.85Мб |
| 09. Pandas 5 V1-lClsJnZn_7w.pt-BR.vtt |
7.02Кб |
| 09. Pandas 5 V1-lClsJnZn_7w.zh-CN.vtt |
5.44Кб |
| 09. Perceptrons as Logical Operators.html |
20.43Кб |
| 09. Perceptrons as Logical Operators.html |
20.44Кб |
| 09. Putting it All Together.html |
7.43Кб |
| 09. Putting It All Together-IF8FlKW-Zo0.en.vtt |
2.42Кб |
| 09. Putting It All Together-IF8FlKW-Zo0.mp4 |
1.58Мб |
| 09. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt |
2.36Кб |
| 09. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt |
2.13Кб |
| 09. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.en.vtt |
7.53Кб |
| 09. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.mp4 |
8.78Мб |
| 09. PyTorch V2 Part 2 Solution V1-zym36ihtOMY.zh-CN.vtt |
5.96Кб |
| 09. Quiz Documentation.html |
8.28Кб |
| 09. Quiz Estimate Volatility.html |
38.91Кб |
| 09. Quiz Integers and Floats.html |
12.89Кб |
| 09. Quiz np.cov.html |
7.38Кб |
| 09. Quiz Scripting with Raw Input.html |
10.75Кб |
| 09. Random Forest Hyperparameters.html |
9.20Кб |
| 09. Ranking Part 1.html |
11.57Кб |
| 09. Rescale Part 2.html |
7.16Кб |
| 09. Risk Factors v. Alpha Factors part 2.html |
9.21Кб |
| 09. Searching For Simple Patterns.html |
8.74Кб |
| 09. Shapley Code Walkthrough (Optional).html |
14.05Кб |
| 09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.en.vtt |
1.58Кб |
| 09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp4 |
1.80Мб |
| 09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.pt-BR.vtt |
1.59Кб |
| 09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.zh-CN.vtt |
1.35Кб |
| 09. Solution Boolean Expressions for Conditions.html |
11.94Кб |
| 09. Statistical Analysis.html |
7.21Кб |
| 09. Statistical vs. Practical Significance.html |
8.89Кб |
| 09. Summary.html |
5.82Кб |
| 09. Summary.html |
5.84Кб |
| 09. TensorDataset Batching Data.html |
7.90Кб |
| 09. Text Processing.html |
6.56Кб |
| 09. Text Processing-pqheVyctkNQ.en.vtt |
2.63Кб |
| 09. Text Processing-pqheVyctkNQ.mp4 |
2.96Мб |
| 09. Text Processing-pqheVyctkNQ.pt-BR.vtt |
2.96Кб |
| 09. Text Processing-pqheVyctkNQ.zh-CN.vtt |
2.30Кб |
| 09. Trade Pairs of Stocks.html |
7.30Кб |
| 09. Training a Model.html |
8.85Кб |
| 09. t-SNE.html |
6.05Кб |
| 09. T-SNE-xxcK8oZ6_WE.en.vtt |
2.17Кб |
| 09. T-SNE-xxcK8oZ6_WE.mp4 |
5.56Мб |
| 09. T-SNE-xxcK8oZ6_WE.pt-BR.vtt |
2.47Кб |
| 09. T-SNE-xxcK8oZ6_WE.zh-CN.vtt |
1.84Кб |
| 09. Two Flips 2.html |
9.39Кб |
| 09. Two Flips 2-pT0FXiH_5nI.ar.vtt |
207б |
| 09. Two Flips 2-pT0FXiH_5nI.en.vtt |
198б |
| 09. Two Flips 2-pT0FXiH_5nI.hr.vtt |
204б |
| 09. Two Flips 2-pT0FXiH_5nI.it.vtt |
213б |
| 09. Two Flips 2-pT0FXiH_5nI.ja.vtt |
194б |
| 09. Two Flips 2-pT0FXiH_5nI.mp4 |
312.59Кб |
| 09. Two Flips 2-pT0FXiH_5nI.pt-BR.vtt |
186б |
| 09. Two Flips 2-pT0FXiH_5nI.th.vtt |
603б |
| 09. Two Flips 2-pT0FXiH_5nI.zh-CN.vtt |
196б |
| 09. Two Flips 2-uhrL5fatt3E.ar.vtt |
1.18Кб |
| 09. Two Flips 2-uhrL5fatt3E.en.vtt |
883б |
| 09. Two Flips 2-uhrL5fatt3E.es-ES.vtt |
948б |
| 09. Two Flips 2-uhrL5fatt3E.hr.vtt |
854б |
| 09. Two Flips 2-uhrL5fatt3E.it.vtt |
945б |
| 09. Two Flips 2-uhrL5fatt3E.ja.vtt |
887б |
| 09. Two Flips 2-uhrL5fatt3E.mp4 |
3.00Мб |
| 09. Two Flips 2-uhrL5fatt3E.pt-BR.vtt |
988б |
| 09. Two Flips 2-uhrL5fatt3E.th.vtt |
1.60Кб |
| 09. Two Flips 2-uhrL5fatt3E.zh-CN.vtt |
787б |
| 09. Types of Errors - Part II.html |
11.04Кб |
| 09. Types Of Errors - Part II-mbdSQ5CjdFs.en.vtt |
3.11Кб |
| 09. Types Of Errors - Part II-mbdSQ5CjdFs.mp4 |
11.48Мб |
| 09. Types Of Errors - Part II-mbdSQ5CjdFs.pt-BR.vtt |
2.99Кб |
| 09. Types Of Errors - Part II-mbdSQ5CjdFs.zh-CN.vtt |
2.58Кб |
| 09. Vector Addition.html |
7.45Кб |
| 09. Video Data Types Summary.html |
8.98Кб |
| 09. Winners and Losers Accelerated and Decelerated Gains and Losses.html |
9.09Кб |
| 09. Writing it Down Part 2.html |
7.10Кб |
| 09. Writing READMEs with Walter.html |
8.16Кб |
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt |
1.50Кб |
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt |
1.34Кб |
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.ja-JP.vtt |
1.48Кб |
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 |
6.92Мб |
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt |
1.22Кб |
| 09. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt |
1.18Кб |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt |
4.11Кб |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.en.vtt |
4.11Кб |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.ja-JP.vtt |
4.20Кб |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.ja-JP.vtt |
4.20Кб |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 |
3.66Мб |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4 |
3.66Мб |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt |
4.17Кб |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.pt-BR.vtt |
4.17Кб |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt |
3.53Кб |
| 10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.zh-CN.vtt |
3.53Кб |
| 10. 8 Word2vec Model V2-7BEYWhym8lI.en.vtt |
10.87Кб |
| 10. 8 Word2vec Model V2-7BEYWhym8lI.mp4 |
11.35Мб |
| 10. 8 Word2vec Model V2-7BEYWhym8lI.pt-BR.vtt |
10.26Кб |
| 10. 8 Word2vec Model V2-7BEYWhym8lI.zh-CN.vtt |
8.98Кб |
| 10. 9 DefiningModel V1-SpvIZl1YQRI.en.vtt |
5.05Кб |
| 10. 9 DefiningModel V1-SpvIZl1YQRI.mp4 |
5.63Мб |
| 10. 9 DefiningModel V1-SpvIZl1YQRI.zh-CN.vtt |
4.06Кб |
| 10. Adding or Removing from an Index.html |
7.95Кб |
| 10. AffdexMe Demo.html |
6.80Кб |
| 10. AffdexMe Demo-dpFtXDqakvY.en.vtt |
1.91Кб |
| 10. AffdexMe Demo-dpFtXDqakvY.mp4 |
13.96Мб |
| 10. AffdexMe Demo-dpFtXDqakvY.zh-CN.vtt |
1.64Кб |
| 10. AI in Finance Interview.html |
6.38Кб |
| 10. Answer False Negatives And Positives-KOytJL1lvgg.en.vtt |
2.82Кб |
| 10. Answer False Negatives And Positives-KOytJL1lvgg.mp4 |
2.23Мб |
| 10. Answer False Negatives And Positives-KOytJL1lvgg.pt-BR.vtt |
2.84Кб |
| 10. Arbitrage for Efficient ETF Pricing.html |
9.63Кб |
| 10. Bayesian Learning 3.html |
7.26Кб |
| 10. Binomial 1.html |
8.71Кб |
| 10. Binomial 1-07vOaYwecII.ar.vtt |
1.05Кб |
| 10. Binomial 1-07vOaYwecII.en.vtt |
856б |
| 10. Binomial 1-07vOaYwecII.es-ES.vtt |
870б |
| 10. Binomial 1-07vOaYwecII.ja.vtt |
828б |
| 10. Binomial 1-07vOaYwecII.mp4 |
6.26Мб |
| 10. Binomial 1-07vOaYwecII.pt-BR.vtt |
974б |
| 10. Binomial 1-07vOaYwecII.zh-CN.vtt |
689б |
| 10. Binomial 1-RBfFHxEjsIU.ar.vtt |
533б |
| 10. Binomial 1-RBfFHxEjsIU.en.vtt |
399б |
| 10. Binomial 1-RBfFHxEjsIU.es-ES.vtt |
424б |
| 10. Binomial 1-RBfFHxEjsIU.ja.vtt |
301б |
| 10. Binomial 1-RBfFHxEjsIU.mp4 |
2.43Мб |
| 10. Binomial 1-RBfFHxEjsIU.pt-BR.vtt |
427б |
| 10. Binomial 1-RBfFHxEjsIU.zh-CN.vtt |
389б |
| 10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.ar.vtt |
4.05Кб |
| 10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.en.vtt |
2.83Кб |
| 10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 |
21.62Мб |
| 10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.pt-BR.vtt |
3.36Кб |
| 10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.zh-CN.vtt |
2.47Кб |
| 10. Booleans, Comparison Operators, and Logical Operators.html |
12.20Кб |
| 10. Cancer Probabilities.html |
11.80Кб |
| 10. Cancer Probabilities-7ZLe_JP5wRY.ar.vtt |
190б |
| 10. Cancer Probabilities-7ZLe_JP5wRY.en.vtt |
152б |
| 10. Cancer Probabilities-7ZLe_JP5wRY.es-ES.vtt |
165б |
| 10. Cancer Probabilities-7ZLe_JP5wRY.it.vtt |
174б |
| 10. Cancer Probabilities-7ZLe_JP5wRY.ja.vtt |
155б |
| 10. Cancer Probabilities-7ZLe_JP5wRY.mp4 |
479.60Кб |
| 10. Cancer Probabilities-7ZLe_JP5wRY.pt-BR.vtt |
216б |
| 10. Cancer Probabilities-7ZLe_JP5wRY.zh-CN.vtt |
158б |
| 10. Cancer Probabilities-CMQBKuYjPBM.ar.vtt |
615б |
| 10. Cancer Probabilities-CMQBKuYjPBM.en.vtt |
455б |
| 10. Cancer Probabilities-CMQBKuYjPBM.en-GB.vtt |
868б |
| 10. Cancer Probabilities-CMQBKuYjPBM.es-ES.vtt |
471б |
| 10. Cancer Probabilities-CMQBKuYjPBM.it.vtt |
456б |
| 10. Cancer Probabilities-CMQBKuYjPBM.ja.vtt |
420б |
| 10. Cancer Probabilities-CMQBKuYjPBM.mp4 |
2.85Мб |
| 10. Cancer Probabilities-CMQBKuYjPBM.pt-BR.vtt |
523б |
| 10. Cancer Probabilities-CMQBKuYjPBM.zh-CN.vtt |
408б |
| 10. Choosing Hyperparameter Values.html |
7.26Кб |
| 10. Converting notebooks.html |
7.76Кб |
| 10. Cross Sectional Model.html |
7.58Кб |
| 10. Dealing with NaN.html |
33.66Кб |
| 10. Defining the Model.html |
6.68Кб |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt |
420б |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt |
420б |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.ja-JP.vtt |
477б |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.ja-JP.vtt |
477б |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4 |
260.01Кб |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.mp4 |
260.01Кб |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt |
364б |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt |
364б |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt |
390б |
| 10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt |
390б |
| 10. Entropy Formula 1.html |
9.76Кб |
| 10. Entropy Formula 3.html |
7.80Кб |
| 10. Entropy Formula-iZiSYrOKvpo.en.vtt |
1.80Кб |
| 10. Entropy Formula-iZiSYrOKvpo.mp4 |
4.30Мб |
| 10. Entropy Formula-iZiSYrOKvpo.pt-BR.vtt |
1.69Кб |
| 10. Entropy Formula-iZiSYrOKvpo.zh-CN.vtt |
1.77Кб |
| 10. Entropy Formula-w73JTBVeyjE.en.vtt |
2.93Кб |
| 10. Entropy Formula-w73JTBVeyjE.mp4 |
8.00Мб |
| 10. Entropy Formula-w73JTBVeyjE.pt-BR.vtt |
2.61Кб |
| 10. Entropy Formula-w73JTBVeyjE.zh-CN.vtt |
2.54Кб |
| 10. Estimation Error.html |
7.01Кб |
| 10. Exercise finding pairs.html |
7.23Кб |
| 10. Feature Extraction.html |
6.61Кб |
| 10. Feature Extraction-UgENzCmfFWE.en.vtt |
3.82Кб |
| 10. Feature Extraction-UgENzCmfFWE.mp4 |
3.47Мб |
| 10. Feature Extraction-UgENzCmfFWE.pt-BR.vtt |
4.24Кб |
| 10. Feature Extraction-UgENzCmfFWE.zh-CN.vtt |
3.34Кб |
| 10. Forecasting Volatility.html |
6.58Кб |
| 10. For Loops.html |
15.03Кб |
| 10. For Loops-UtX0PXSUCdY.ar.vtt |
9.73Кб |
| 10. For Loops-UtX0PXSUCdY.en.vtt |
6.73Кб |
| 10. For Loops-UtX0PXSUCdY.mp4 |
18.44Мб |
| 10. For Loops-UtX0PXSUCdY.pt-BR.vtt |
7.29Кб |
| 10. For Loops-UtX0PXSUCdY.zh-CN.vtt |
6.20Кб |
| 10. Gender Bias Revisited.html |
8.97Кб |
| 10. Gender Bias Revisited-4YY-hmqSz30.ar.vtt |
312б |
| 10. Gender Bias Revisited-4YY-hmqSz30.en.vtt |
246б |
| 10. Gender Bias Revisited-4YY-hmqSz30.hr.vtt |
252б |
| 10. Gender Bias Revisited-4YY-hmqSz30.it.vtt |
239б |
| 10. Gender Bias Revisited-4YY-hmqSz30.ja.vtt |
236б |
| 10. Gender Bias Revisited-4YY-hmqSz30.mp4 |
1.21Мб |
| 10. Gender Bias Revisited-4YY-hmqSz30.pt-BR.vtt |
218б |
| 10. Gender Bias Revisited-4YY-hmqSz30.zh-CN.vtt |
232б |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.ar.vtt |
1.61Кб |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.en.vtt |
1.19Кб |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.hr.vtt |
1.11Кб |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.it.vtt |
1.28Кб |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.ja.vtt |
1.14Кб |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.mp4 |
7.49Мб |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.pt-BR.vtt |
1.08Кб |
| 10. Gender Bias Revisited-dOa4Cl0wM0s.zh-CN.vtt |
1.00Кб |
| 10. Implementing Softmax Solution.html |
8.78Кб |
| 10. Interview with Art - Part 2.html |
7.92Кб |
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt |
2.82Кб |
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt |
2.16Кб |
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.ja-JP.vtt |
2.52Кб |
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 |
13.17Мб |
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt |
2.40Кб |
| 10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt |
2.07Кб |
| 10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.en.vtt |
1.64Кб |
| 10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.mp4 |
1.84Мб |
| 10. KALMAN QUIZ Shifting The Mean 01 RENDER 1 V2-gfBdoCFborg.zh-CN.vtt |
1.36Кб |
| 10. K-Means Cluster Visualization.html |
9.03Кб |
| 10. K-Means Cluster Visualization-iCTPBcowJRY.ar.vtt |
2.07Кб |
| 10. K-Means Cluster Visualization-iCTPBcowJRY.en.vtt |
1.55Кб |
| 10. K-Means Cluster Visualization-iCTPBcowJRY.mp4 |
3.34Мб |
| 10. K-Means Cluster Visualization-iCTPBcowJRY.pt-BR.vtt |
1.45Кб |
| 10. K-Means Cluster Visualization-iCTPBcowJRY.zh-CN.vtt |
1.32Кб |
| 10. K-Means Cluster Visualization-ZMfwPUrOFsE.ar.vtt |
583б |
| 10. K-Means Cluster Visualization-ZMfwPUrOFsE.en.vtt |
451б |
| 10. K-Means Cluster Visualization-ZMfwPUrOFsE.mp4 |
1.14Мб |
| 10. K-Means Cluster Visualization-ZMfwPUrOFsE.pt-BR.vtt |
454б |
| 10. K-Means Cluster Visualization-ZMfwPUrOFsE.zh-CN.vtt |
424б |
| 10. L1 11 Adding Or Removing From An Index V2-_bWIZWa20j8.en.vtt |
1.69Кб |
| 10. L1 11 Adding Or Removing From An Index V2-_bWIZWa20j8.mp4 |
4.15Мб |
| 10. L2 12 Misaligned ETF Pricing V3-5-pBZ3fyv6I.en.vtt |
2.13Кб |
| 10. L2 12 Misaligned ETF Pricing V3-5-pBZ3fyv6I.mp4 |
3.55Мб |
| 10. L2 13 Realigning ETF Share Prices V2-aRXJxjQQSiI.en.vtt |
1.79Кб |
| 10. L2 13 Realigning ETF Share Prices V2-aRXJxjQQSiI.mp4 |
1.74Мб |
| 10. L3 08 The Efficient Frontier V3-tEEyhU23bI4.en.vtt |
5.62Кб |
| 10. L3 08 The Efficient Frontier V3-tEEyhU23bI4.mp4 |
7.22Мб |
| 10. L4 11 Rebalancing A Portfolio V2-S5SPhBpG3b0.en.vtt |
5.03Кб |
| 10. L4 11 Rebalancing A Portfolio V2-S5SPhBpG3b0.mp4 |
14.19Мб |
| 10. Linear Transformation and Matrices. Part 2.html |
7.14Кб |
| 10. Linear Transformations 2-imtEd8M6__s.en.vtt |
4.92Кб |
| 10. Linear Transformations 2-imtEd8M6__s.mp4 |
13.49Мб |
| 10. Linear Transformations 2-imtEd8M6__s.pt-BR.vtt |
5.20Кб |
| 10. Linear Transformations 2-imtEd8M6__s.zh-CN.vtt |
4.29Кб |
| 10. M1L3 14 Markets In Different Timezones V3-wmmEpPM-HVs.en.vtt |
1.90Кб |
| 10. M1L3 14 Markets In Different Timezones V3-wmmEpPM-HVs.mp4 |
2.78Мб |
| 10. M2L2 09 Outro V1-r1SWu-7Rzf0.en.vtt |
565б |
| 10. M2L2 09 Outro V1-r1SWu-7Rzf0.mp4 |
1.29Мб |
| 10. M2L3 09 Transforming Data V3-N8Fhq8wiQZU.en.vtt |
3.34Кб |
| 10. M2L3 09 Transforming Data V3-N8Fhq8wiQZU.mp4 |
4.82Мб |
| 10. M2L5 09 Forecasting Volatility V3-82v4v_PKDAE.en.vtt |
4.32Кб |
| 10. M2L5 09 Forecasting Volatility V3-82v4v_PKDAE.mp4 |
5.60Мб |
| 10. M4 L1A 09 Overview For Standardizing A Factor V3-0clT0lnrTrU.en.vtt |
842б |
| 10. M4 L1A 09 Overview For Standardizing A Factor V3-0clT0lnrTrU.mp4 |
1.54Мб |
| 10. M4 L1B 09 Risk Factors V Alpha Factors Part 3 V1-UmdOVhcRCVU.en.vtt |
3.29Кб |
| 10. M4 L1B 09 Risk Factors V Alpha Factors Part 3 V1-UmdOVhcRCVU.mp4 |
10.49Мб |
| 10. M4 L2A 06 Variance Of One Stock V3-rxaABg4wVZo.en.vtt |
2.64Кб |
| 10. M4 L2A 06 Variance Of One Stock V3-rxaABg4wVZo.mp4 |
3.49Мб |
| 10. M4 L2A 21 Cross Sectional Risk Model V3-mpnRAt8qUus.en.vtt |
2.63Кб |
| 10. M4 L2A 21 Cross Sectional Risk Model V3-mpnRAt8qUus.mp4 |
3.48Мб |
| 10. M4 L2b 10 Writing It Down Pt 3 V3-kSl0j4QIMIU.en.vtt |
2.59Кб |
| 10. M4 L2b 10 Writing It Down Pt 3 V3-kSl0j4QIMIU.mp4 |
2.51Мб |
| 10. M4 L3a 07 Ranking Part 2 V2-uwPUV5LBhWY.en.vtt |
2.35Кб |
| 10. M4 L3a 07 Ranking Part 2 V2-uwPUV5LBhWY.mp4 |
3.77Мб |
| 10. M4 L3b 08 Winners And Losers Approximating Curves With Polynomials V4-Nw6v2EeECt0.en.vtt |
3.40Кб |
| 10. M4 L3b 08 Winners And Losers Approximating Curves With Polynomials V4-Nw6v2EeECt0.mp4 |
5.83Мб |
| 10. M4 L4 10 Estimation Error V4-WdrMIRhScN0.en.vtt |
4.93Кб |
| 10. M4 L4 10 Estimation Error V4-WdrMIRhScN0.mp4 |
10.69Мб |
| 10. M5 SC 5 Word Boundaries V1-3dWIHULqKog.en.vtt |
6.15Кб |
| 10. M5 SC 5 Word Boundaries V1-3dWIHULqKog.mp4 |
13.61Мб |
| 10. M7L5 22 V1-34bV5mYUJAI.en.vtt |
4.08Кб |
| 10. M7L5 22 V1-34bV5mYUJAI.mp4 |
22.67Мб |
| 10. M7L5 23 Targets Intro V1-yaKHIvm7cXY.en.vtt |
2.08Кб |
| 10. M7L5 23 Targets Intro V1-yaKHIvm7cXY.mp4 |
2.16Мб |
| 10. M7L5 24 Targets Solution V2-rC27Xoeyes0.en.vtt |
1.58Кб |
| 10. M7L5 24 Targets Solution V2-rC27Xoeyes0.mp4 |
2.48Мб |
| 10. M8l2 11 Optimization Without Constraints Part1 V2-l8UOQTmyyUw.en.vtt |
1.93Кб |
| 10. M8l2 11 Optimization Without Constraints Part1 V2-l8UOQTmyyUw.mp4 |
1.65Мб |
| 10. M8l2 12 Optimization Without Constraints Part2 V2-fvwhoqt9U70.en.vtt |
3.53Кб |
| 10. M8l2 12 Optimization Without Constraints Part2 V2-fvwhoqt9U70.mp4 |
3.73Мб |
| 10. Manipulating ndarrays.html |
7.98Кб |
| 10. Markets in Different Timezones.html |
6.51Кб |
| 10. Mean Squared Error.html |
7.58Кб |
| 10. Mean Squared Error-MRyxmZDngI4.en.vtt |
2.49Кб |
| 10. Mean Squared Error-MRyxmZDngI4.mp4 |
1.83Мб |
| 10. Mean Squared Error-MRyxmZDngI4.pt-BR.vtt |
2.26Кб |
| 10. Metric - Enrollment Rate.html |
11.18Кб |
| 10. Minimum.html |
9.18Кб |
| 10. Minimum-MEbJxfw3NVs.ar.vtt |
886б |
| 10. Minimum-MEbJxfw3NVs.en.vtt |
715б |
| 10. Minimum-MEbJxfw3NVs.es-ES.vtt |
741б |
| 10. Minimum-MEbJxfw3NVs.ja.vtt |
627б |
| 10. Minimum-MEbJxfw3NVs.mp4 |
3.51Мб |
| 10. Minimum-MEbJxfw3NVs.pt-BR.vtt |
699б |
| 10. Minimum-MEbJxfw3NVs.zh-CN.vtt |
635б |
| 10. Minimum-tiv8VKPL7jg.ar.vtt |
518б |
| 10. Minimum-tiv8VKPL7jg.en.vtt |
357б |
| 10. Minimum-tiv8VKPL7jg.es-ES.vtt |
357б |
| 10. Minimum-tiv8VKPL7jg.ja.vtt |
310б |
| 10. Minimum-tiv8VKPL7jg.mp4 |
1.69Мб |
| 10. Minimum-tiv8VKPL7jg.pt-BR.vtt |
373б |
| 10. Minimum-tiv8VKPL7jg.zh-CN.vtt |
314б |
| 10. NewsRoom Liz Short V2-vqHsk3hjBLU.en.vtt |
5.27Кб |
| 10. NewsRoom Liz Short V2-vqHsk3hjBLU.mp4 |
24.61Мб |
| 10. NLP Summary-B9ul8fsQYOA.en.vtt |
688б |
| 10. NLP Summary-B9ul8fsQYOA.mp4 |
1.38Мб |
| 10. NLP Summary-B9ul8fsQYOA.zh-CN.vtt |
624б |
| 10. Optimization without constraints.html |
8.73Кб |
| 10. Other architectures.html |
7.69Кб |
| 10. Other Architectures-MsxFDuYlTuQ.en.vtt |
2.31Кб |
| 10. Other Architectures-MsxFDuYlTuQ.mp4 |
1.71Мб |
| 10. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt |
2.45Кб |
| 10. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt |
2.04Кб |
| 10. Overview for standardizing a factor.html |
7.20Кб |
| 10. Pandas 6 V1-GS1kj04XQcM.en.vtt |
6.34Кб |
| 10. Pandas 6 V1-GS1kj04XQcM.mp4 |
7.87Мб |
| 10. Pandas 6 V1-GS1kj04XQcM.pt-BR.vtt |
7.49Кб |
| 10. Pandas 6 V1-GS1kj04XQcM.zh-CN.vtt |
5.63Кб |
| 10. Perceptron Algorithm--zhTROHtscQ.en.vtt |
2.64Кб |
| 10. Perceptron Algorithm--zhTROHtscQ.en.vtt |
2.64Кб |
| 10. Perceptron Algorithm--zhTROHtscQ.ja-JP.vtt |
2.89Кб |
| 10. Perceptron Algorithm--zhTROHtscQ.ja-JP.vtt |
2.89Кб |
| 10. Perceptron Algorithm--zhTROHtscQ.mp4 |
1.92Мб |
| 10. Perceptron Algorithm--zhTROHtscQ.mp4 |
1.92Мб |
| 10. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt |
2.41Кб |
| 10. Perceptron Algorithm--zhTROHtscQ.pt-BR.vtt |
2.41Кб |
| 10. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt |
2.35Кб |
| 10. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt |
2.35Кб |
| 10. Perceptron Trick.html |
13.29Кб |
| 10. Perceptron Trick.html |
13.35Кб |
| 10. Precision and Recall.html |
7.91Кб |
| 10. Prepare for the Udacity Talent Program.html |
8.92Кб |
| 10. Price Earnings Ratio.html |
9.33Кб |
| 10. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.en.vtt |
12.12Кб |
| 10. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.mp4 |
16.70Мб |
| 10. PyTorch V2 Part 2 Solution 2 V1-8KRX7HvqfP0.zh-CN.vtt |
9.71Кб |
| 10. Quiz Shifting the Mean.html |
9.73Кб |
| 10. Quiz Types of Errors - Part II(a).html |
14.08Кб |
| 10. Random Restart.html |
6.84Кб |
| 10. Random Restart-idyBBCzXiqg.en.vtt |
466б |
| 10. Random Restart-idyBBCzXiqg.mp4 |
394.99Кб |
| 10. Random Restart-idyBBCzXiqg.pt-BR.vtt |
478б |
| 10. Random Restart-idyBBCzXiqg.zh-CN.vtt |
419б |
| 10. Ranking Part 2.html |
11.57Кб |
| 10. Reaching Out on LinkedIn.html |
9.34Кб |
| 10. Rebalancing a Portfolio.html |
6.56Кб |
| 10. Risk Factors v. Alpha Factors part 3.html |
8.73Кб |
| 10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.en.vtt |
3.21Кб |
| 10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp4 |
9.33Мб |
| 10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.pt-BR.vtt |
3.00Кб |
| 10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.zh-CN.vtt |
2.74Кб |
| 10. Solution Documentation.html |
8.05Кб |
| 10. Solution Scripting with Raw Input.html |
8.96Кб |
| 10. Stemming and Lemmatization.html |
6.64Кб |
| 10. Stemming And Lemmatization-7Gjf81u5hmw.en.vtt |
4.77Кб |
| 10. Stemming And Lemmatization-7Gjf81u5hmw.mp4 |
4.93Мб |
| 10. Stemming And Lemmatization-7Gjf81u5hmw.pt-BR.vtt |
5.02Кб |
| 10. Stemming And Lemmatization-7Gjf81u5hmw.zh-CN.vtt |
4.26Кб |
| 10. Summary.html |
6.04Кб |
| 10. Summary.html |
5.87Кб |
| 10. Targets (Labels).html |
7.03Кб |
| 10. Text + Quiz Data Types (Ordinal vs. Nominal).html |
15.49Кб |
| 10. Text Introduction to the Standard Deviation and Variance.html |
13.55Кб |
| 10. Text Processing.html |
6.65Кб |
| 10. Text Processing-pqheVyctkNQ.en.vtt |
2.63Кб |
| 10. Text Processing-pqheVyctkNQ.mp4 |
2.96Мб |
| 10. Text Processing-pqheVyctkNQ.pt-BR.vtt |
2.96Кб |
| 10. Text Processing-pqheVyctkNQ.zh-CN.vtt |
2.30Кб |
| 10. Text Sampling Distribution Notes.html |
10.64Кб |
| 10. The Efficient Frontier.html |
7.60Кб |
| 10. The Many Meanings of Alpha.html |
8.31Кб |
| 10. Total Probability.html |
7.39Кб |
| 10. Total Probability-YSYpzFR4k1I.ar.vtt |
2.48Кб |
| 10. Total Probability-YSYpzFR4k1I.en.vtt |
1.90Кб |
| 10. Total Probability-YSYpzFR4k1I.es-ES.vtt |
1.98Кб |
| 10. Total Probability-YSYpzFR4k1I.it.vtt |
1.99Кб |
| 10. Total Probability-YSYpzFR4k1I.ja.vtt |
1.59Кб |
| 10. Total Probability-YSYpzFR4k1I.mp4 |
11.54Мб |
| 10. Total Probability-YSYpzFR4k1I.pt-BR.vtt |
1.80Кб |
| 10. Total Probability-YSYpzFR4k1I.th.vtt |
3.38Кб |
| 10. Total Probability-YSYpzFR4k1I.zh-CN.vtt |
1.75Кб |
| 10. Traditional Confidence Interval Methods-DmZwYHuz2eM.en.vtt |
1.66Кб |
| 10. Traditional Confidence Interval Methods-DmZwYHuz2eM.mp4 |
7.87Мб |
| 10. Traditional Confidence Interval Methods-DmZwYHuz2eM.pt-BR.vtt |
1.81Кб |
| 10. Traditional Confidence Interval Methods-DmZwYHuz2eM.zh-CN.vtt |
1.37Кб |
| 10. Transforming Data.html |
6.97Кб |
| 10. Tree Shap Exercise.html |
7.90Кб |
| 10. Two Flips 3.html |
10.16Кб |
| 10. Two Flips 3-3NSPqjp6pFY.ar.vtt |
547б |
| 10. Two Flips 3-3NSPqjp6pFY.en.vtt |
432б |
| 10. Two Flips 3-3NSPqjp6pFY.es-ES.vtt |
473б |
| 10. Two Flips 3-3NSPqjp6pFY.hr.vtt |
469б |
| 10. Two Flips 3-3NSPqjp6pFY.it.vtt |
435б |
| 10. Two Flips 3-3NSPqjp6pFY.ja.vtt |
397б |
| 10. Two Flips 3-3NSPqjp6pFY.mp4 |
1.12Мб |
| 10. Two Flips 3-3NSPqjp6pFY.pt-BR.vtt |
496б |
| 10. Two Flips 3-3NSPqjp6pFY.zh-CN.vtt |
379б |
| 10. Two Flips 3-uimwo-puQWY.ar.vtt |
254б |
| 10. Two Flips 3-uimwo-puQWY.en.vtt |
210б |
| 10. Two Flips 3-uimwo-puQWY.hr.vtt |
197б |
| 10. Two Flips 3-uimwo-puQWY.it.vtt |
210б |
| 10. Two Flips 3-uimwo-puQWY.ja.vtt |
194б |
| 10. Two Flips 3-uimwo-puQWY.mp4 |
920.84Кб |
| 10. Two Flips 3-uimwo-puQWY.pt-BR.vtt |
219б |
| 10. Two Flips 3-uimwo-puQWY.th.vtt |
359б |
| 10. Two Flips 3-uimwo-puQWY.zh-CN.vtt |
177б |
| 10. Variance of one stock.html |
7.80Кб |
| 10. Vectors- Quiz 2.html |
8.55Кб |
| 10. Video Traditional Confidence Intervals.html |
9.71Кб |
| 10. Winners and Losers approximating curves with polynomials.html |
9.02Кб |
| 10. Word2Vec Model.html |
7.05Кб |
| 10. Word Boundaries.html |
8.67Кб |
| 10. Writing it Down Part 3.html |
7.10Кб |
| 11. 06 Precision SC V1-q2wVorBfefU.en.vtt |
2.69Кб |
| 11. 06 Precision SC V1-q2wVorBfefU.mp4 |
2.24Мб |
| 11. 06 Precision SC V1-q2wVorBfefU.pt-BR.vtt |
2.64Кб |
| 11. 9 Model Validation Loss V2-GKDCq8J76tM.en.vtt |
8.79Кб |
| 11. 9 Model Validation Loss V2-GKDCq8J76tM.mp4 |
13.67Мб |
| 11. 9 Model Validation Loss V2-GKDCq8J76tM.pt-BR.vtt |
8.31Кб |
| 11. 9 Model Validation Loss V2-GKDCq8J76tM.zh-CN.vtt |
7.20Кб |
| 11. A different approach.html |
6.90Кб |
| 11. Answer Shifting the Mean.html |
8.30Кб |
| 11. Arithmetic operations and Broadcasting.html |
18.02Кб |
| 11. Binomial 2.html |
8.72Кб |
| 11. Binomial 2-d4LWnxyvrTQ.ar.vtt |
265б |
| 11. Binomial 2-d4LWnxyvrTQ.en.vtt |
222б |
| 11. Binomial 2-d4LWnxyvrTQ.es-ES.vtt |
238б |
| 11. Binomial 2-d4LWnxyvrTQ.ja.vtt |
197б |
| 11. Binomial 2-d4LWnxyvrTQ.mp4 |
1.06Мб |
| 11. Binomial 2-d4LWnxyvrTQ.pt-BR.vtt |
246б |
| 11. Binomial 2-d4LWnxyvrTQ.zh-CN.vtt |
170б |
| 11. Binomial 2-Uy7b3aMPnEY.ar.vtt |
202б |
| 11. Binomial 2-Uy7b3aMPnEY.en.vtt |
165б |
| 11. Binomial 2-Uy7b3aMPnEY.es-ES.vtt |
170б |
| 11. Binomial 2-Uy7b3aMPnEY.ja.vtt |
190б |
| 11. Binomial 2-Uy7b3aMPnEY.mp4 |
1.86Мб |
| 11. Binomial 2-Uy7b3aMPnEY.pt-BR.vtt |
284б |
| 11. Binomial 2-Uy7b3aMPnEY.zh-CN.vtt |
150б |
| 11. Boost Your Visibility.html |
8.56Кб |
| 11. Capital Market Line.html |
7.34Кб |
| 11. Commit messages best practices.html |
10.08Кб |
| 11. Complete Sentiment RNN.html |
12.90Кб |
| 11. Creating a slideshow.html |
8.59Кб |
| 11. Dangers of Statistics.html |
6.79Кб |
| 11. Dangers Of Statistics-UYZXqP562qg.ar.vtt |
1.07Кб |
| 11. Dangers Of Statistics-UYZXqP562qg.en.vtt |
754б |
| 11. Dangers Of Statistics-UYZXqP562qg.mp4 |
2.50Мб |
| 11. Dangers Of Statistics-UYZXqP562qg.pt-BR.vtt |
802б |
| 11. Dangers Of Statistics-UYZXqP562qg.zh-CN.vtt |
707б |
| 11. Data Types (Continuous vs. Discrete).html |
10.42Кб |
| 11. Emotion as a Service.html |
6.38Кб |
| 11. Emotion as a Service-2jAP3rP3USM.en.vtt |
887б |
| 11. Emotion as a Service-2jAP3rP3USM.mp4 |
3.60Мб |
| 11. Emotion as a Service-2jAP3rP3USM.zh-CN.vtt |
809б |
| 11. Entropy Formula 2.html |
9.30Кб |
| 11. Errors and Exceptions.html |
9.44Кб |
| 11. Errors And Exceptions-DmthSiy2d0U.ar.vtt |
3.67Кб |
| 11. Errors And Exceptions-DmthSiy2d0U.en.vtt |
2.78Кб |
| 11. Errors And Exceptions-DmthSiy2d0U.mp4 |
3.39Мб |
| 11. Errors And Exceptions-DmthSiy2d0U.pt-BR.vtt |
3.03Кб |
| 11. Errors And Exceptions-DmthSiy2d0U.zh-CN.vtt |
2.60Кб |
| 11. Exchange Traded Funds.html |
6.61Кб |
| 11. Exercise Process Tweets.html |
7.01Кб |
| 11. Feature Extraction.html |
6.70Кб |
| 11. Feature Extraction-UgENzCmfFWE.en.vtt |
3.82Кб |
| 11. Feature Extraction-UgENzCmfFWE.mp4 |
3.47Мб |
| 11. Feature Extraction-UgENzCmfFWE.pt-BR.vtt |
4.24Кб |
| 11. Feature Extraction-UgENzCmfFWE.zh-CN.vtt |
3.34Кб |
| 11. How an Index is Constructed.html |
9.92Кб |
| 11. Implementing RNNs.html |
7.77Кб |
| 11. Infeasible Problems.html |
7.02Кб |
| 11. Introduction To Notation-ISkBSUVH49M.ar.vtt |
1.45Кб |
| 11. Introduction To Notation-ISkBSUVH49M.en.vtt |
1.10Кб |
| 11. Introduction To Notation-ISkBSUVH49M.mp4 |
3.24Мб |
| 11. Introduction To Notation-ISkBSUVH49M.pt-BR.vtt |
1.22Кб |
| 11. Introduction To Notation-ISkBSUVH49M.zh-CN.vtt |
982б |
| 11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.en.vtt |
632б |
| 11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.mp4 |
451.32Кб |
| 11. KALMAN QUIZ Shifting The Mean 02 RENDER V1-L8vNIKvpJ1s.zh-CN.vtt |
533б |
| 11. K-Means Clustering Visualization 2.html |
7.83Кб |
| 11. K-Means Clustering Visualization 2-fQXXa-CAoS0.ar.vtt |
4.85Кб |
| 11. K-Means Clustering Visualization 2-fQXXa-CAoS0.en.vtt |
3.51Кб |
| 11. K-Means Clustering Visualization 2-fQXXa-CAoS0.mp4 |
10.53Мб |
| 11. K-Means Clustering Visualization 2-fQXXa-CAoS0.pt-BR.vtt |
3.39Кб |
| 11. K-Means Clustering Visualization 2-fQXXa-CAoS0.zh-CN.vtt |
3.04Кб |
| 11. L1 12 How An Index Is Constructed V2-dsbi4dvdU9c.en.vtt |
1.91Кб |
| 11. L1 12 How An Index Is Constructed V2-dsbi4dvdU9c.mp4 |
5.26Мб |
| 11. L2 14 Summary V1-E5br2PiH8kY.en.vtt |
792б |
| 11. L2 14 Summary V1-E5br2PiH8kY.mp4 |
3.20Мб |
| 11. L3 09 Capital Market Line V2-BRO-vo3y0-U.en.vtt |
6.24Кб |
| 11. L3 09 Capital Market Line V2-BRO-vo3y0-U.mp4 |
11.25Мб |
| 11. L4 08 Lambda Expressions V3-wkEmPz1peJM.en.vtt |
2.18Кб |
| 11. L4 08 Lambda Expressions V3-wkEmPz1peJM.mp4 |
7.99Мб |
| 11. L4 08 Lambda Expressions V3-wkEmPz1peJM.pt-BR.vtt |
2.68Кб |
| 11. L4 08 Lambda Expressions V3-wkEmPz1peJM.zh-CN.vtt |
1.93Кб |
| 11. L4 12 Rebalancing Strategies V2-8u5gBx-fYr8.en.vtt |
5.73Кб |
| 11. L4 12 Rebalancing Strategies V2-8u5gBx-fYr8.mp4 |
15.62Мб |
| 11. Lambda Expressions.html |
9.02Кб |
| 11. Linear Regression.html |
6.99Кб |
| 11. Linear Transformation and Matrices. Part 3.html |
6.94Кб |
| 11. Linear Transformations 3-g_yTyRwMzXU.en.vtt |
5.12Кб |
| 11. Linear Transformations 3-g_yTyRwMzXU.mp4 |
20.09Мб |
| 11. Linear Transformations 3-g_yTyRwMzXU.pt-BR.vtt |
5.21Кб |
| 11. Linear Transformations 3-g_yTyRwMzXU.zh-CN.vtt |
4.51Кб |
| 11. M1L3 15 Outro V2-XVvfToYCsmo.en.vtt |
878б |
| 11. M1L3 15 Outro V2-XVvfToYCsmo.mp4 |
1.96Мб |
| 11. M1L4 13 Exchange Traded Funds V4-Zx7v5GCfpvI.en.vtt |
6.62Кб |
| 11. M1L4 13 Exchange Traded Funds V4-Zx7v5GCfpvI.mp4 |
18.91Мб |
| 11. M2L3 10 Linear Regression V4-GRY4eakMBJ8.en.vtt |
4.46Кб |
| 11. M2L3 10 Linear Regression V4-GRY4eakMBJ8.mp4 |
7.80Мб |
| 11. M2L5 11 Markets Volatility V3-jEHJkZUX9s4.en.vtt |
5.25Кб |
| 11. M2L5 11 Markets Volatility V3-jEHJkZUX9s4.mp4 |
12.46Мб |
| 11. M4 L1B 10 Risk Factors V Alpha Factors Part 4 V1-3ZE298YwbCM.en.vtt |
2.92Кб |
| 11. M4 L1B 10 Risk Factors V Alpha Factors Part 4 V1-3ZE298YwbCM.mp4 |
10.29Мб |
| 11. M4 L2A 07 Taking Constants Out Of Variance And Covariance Optional V3-M9R9870m_o0.en.vtt |
1.87Кб |
| 11. M4 L2A 07 Taking Constants Out Of Variance And Covariance Optional V3-M9R9870m_o0.mp4 |
1.87Мб |
| 11. M4 L2A 22 Cross Sectional Risk Model A Different Approach V2-LauZ7h4bgKE.en.vtt |
2.22Кб |
| 11. M4 L2A 22 Cross Sectional Risk Model A Different Approach V2-LauZ7h4bgKE.mp4 |
1.84Мб |
| 11. M4 L2b 11 Writing It Down Pt 4 V3-7XO-syqIpCE.en.vtt |
2.07Кб |
| 11. M4 L2b 11 Writing It Down Pt 4 V3-7XO-syqIpCE.mp4 |
1.92Мб |
| 11. M4 L4 12 Infeasible Problems V4-ljg25Rj511Q.en.vtt |
4.04Кб |
| 11. M4 L4 12 Infeasible Problems V4-ljg25Rj511Q.mp4 |
7.53Мб |
| 11. M5 SC 6 Metacharacters Part 1 V1-Jay3euM62NQ.en.vtt |
3.97Кб |
| 11. M5 SC 6 Metacharacters Part 1 V1-Jay3euM62NQ.mp4 |
8.61Мб |
| 11. M7L5 28 V1-Ffax3lTKAs0.en.vtt |
2.31Кб |
| 11. M7L5 28 V1-Ffax3lTKAs0.mp4 |
12.45Мб |
| 11. M7L5 Outro V1-k7DsfRhDwLQ.en.vtt |
1.05Кб |
| 11. M7L5 Outro V1-k7DsfRhDwLQ.mp4 |
5.73Мб |
| 11. M7L7 35 Tree Shap Intro V1-Si3r4-VR0CU.en.vtt |
4.78Кб |
| 11. M7L7 35 Tree Shap Intro V1-Si3r4-VR0CU.mp4 |
5.10Мб |
| 11. M7L7 36 Algorithm Part 1 V2-4ko5-Ck-yCQ.en.vtt |
2.67Кб |
| 11. M7L7 36 Algorithm Part 1 V2-4ko5-Ck-yCQ.mp4 |
4.39Мб |
| 11. M7L7 36 Algorithm Part 2 V1-g1nevC4NU2U.en.vtt |
4.14Кб |
| 11. M7L7 36 Algorithm Part 2 V1-g1nevC4NU2U.mp4 |
6.99Мб |
| 11. M7L7 37 Attributes V1-IMhB5bOK7Wg.en.vtt |
4.75Кб |
| 11. M7L7 37 Attributes V1-IMhB5bOK7Wg.mp4 |
6.71Мб |
| 11. M7L7 38 Proportion Intro V1-gMkMy0BeuaU.en.vtt |
1000б |
| 11. M7L7 38 Proportion Intro V1-gMkMy0BeuaU.mp4 |
4.90Мб |
| 11. M7L7 39 Proportion Solution V1-i03PYAy2ijE.en.vtt |
2.27Кб |
| 11. M7L7 39 Proportion Solution V1-i03PYAy2ijE.mp4 |
3.42Мб |
| 11. M7L7 40 Wrapper Intro V1-IfwRHDSxwPs.en.vtt |
2.30Кб |
| 11. M7L7 40 Wrapper Intro V1-IfwRHDSxwPs.mp4 |
2.63Мб |
| 11. M7L7 41 Wrapper Solution V1-27tEa_Bpq20.en.vtt |
2.46Кб |
| 11. M7L7 41 Wrapper Solution V1-27tEa_Bpq20.mp4 |
5.53Мб |
| 11. M7L7 42 Prediction Intro Part 1 V2-MLAnUO0BSr0.en.vtt |
1.42Кб |
| 11. M7L7 42 Prediction Intro Part 1 V2-MLAnUO0BSr0.mp4 |
1.95Мб |
| 11. M7L7 42 Prediction Intro Part 2 V1-DG-HiRum1JU.en.vtt |
6.21Кб |
| 11. M7L7 42 Prediction Intro Part 2 V1-DG-HiRum1JU.mp4 |
8.88Мб |
| 11. M7L7 43 Prediction Solution Part 1 V2-VgtWMV2GIic.en.vtt |
4.12Кб |
| 11. M7L7 43 Prediction Solution Part 1 V2-VgtWMV2GIic.mp4 |
9.79Мб |
| 11. M7L7 43 Prediction Solution Part 2 V1-y-vY_23kSU0.en.vtt |
1.16Кб |
| 11. M7L7 43 Prediction Solution Part 2 V1-y-vY_23kSU0.mp4 |
2.40Мб |
| 11. M7L7 44 Weight Intro V1-1cautGeQWDE.en.vtt |
612б |
| 11. M7L7 44 Weight Intro V1-1cautGeQWDE.mp4 |
556.78Кб |
| 11. M7L7 45 Weight Solution V1-VTQJc3Q7m9M.en.vtt |
504б |
| 11. M7L7 45 Weight Solution V1-VTQJc3Q7m9M.mp4 |
924.31Кб |
| 11. M7L7 46 Marginal Intro V1-RhDVEN3vHc8.en.vtt |
1.78Кб |
| 11. M7L7 46 Marginal Intro V1-RhDVEN3vHc8.mp4 |
3.19Мб |
| 11. M7L7 47 Marginal Solution V1-HINVjMBV6O8.en.vtt |
2.68Кб |
| 11. M7L7 47 Marginal Solution V1-HINVjMBV6O8.mp4 |
3.83Мб |
| 11. M7L7 48 Subsets Intro V1-ddoL_RcpZAc.en.vtt |
1.95Кб |
| 11. M7L7 48 Subsets Intro V1-ddoL_RcpZAc.mp4 |
3.15Мб |
| 11. M7L7 49 Subsets Solution V1-YfwUDZ_hNKI.en.vtt |
3.83Кб |
| 11. M7L7 49 Subsets Solution V1-YfwUDZ_hNKI.mp4 |
5.52Мб |
| 11. M7L7 50 Shap One Intro V1 (1)-BKD_FseE6Z4.en.vtt |
5.33Кб |
| 11. M7L7 50 Shap One Intro V1 (1)-BKD_FseE6Z4.mp4 |
10.30Мб |
| 11. M7L7 51 Shap One Solution V2 (1)-Q0qAsUz2gnU.en.vtt |
4.68Кб |
| 11. M7L7 51 Shap One Solution V2 (1)-Q0qAsUz2gnU.mp4 |
12.77Мб |
| 11. M7L7 52 Shap All V1 (1)--hYuszY7ffo.en.vtt |
1.52Кб |
| 11. M7L7 52 Shap All V1 (1)--hYuszY7ffo.mp4 |
1.79Мб |
| 11. M7L7 53 Additive Feature Att Part 1 V2-uTpfEfHp_KA.en.vtt |
3.57Кб |
| 11. M7L7 53 Additive Feature Att Part 1 V2-uTpfEfHp_KA.mp4 |
7.37Мб |
| 11. M7L7 53 Additive Feature Att Part 2 V1-ah171-grqus.en.vtt |
4.44Кб |
| 11. M7L7 53 Additive Feature Att Part 2 V1-ah171-grqus.mp4 |
9.88Мб |
| 11. M7L7 54 Test1 V1-6yMdxyiykeg.en.vtt |
2.95Кб |
| 11. M7L7 54 Test1 V1-6yMdxyiykeg.mp4 |
3.48Мб |
| 11. M7L7 55 Test2 V1-36-igThq7yI.mp4 |
3.40Мб |
| 11. M7L7 56 Test3 V1-W_N9wjVnfBk.en.vtt |
1.96Кб |
| 11. M7L7 56 Test3 V1-W_N9wjVnfBk.mp4 |
2.00Мб |
| 11. M8L1 15 Outro V1-mFk_HYJLF1w.en.vtt |
510б |
| 11. M8L1 15 Outro V1-mFk_HYJLF1w.mp4 |
2.16Мб |
| 11. M8l2 13 Risk Factor Matrix V2-Obwjj-Fs2LM.en.vtt |
3.05Кб |
| 11. M8l2 13 Risk Factor Matrix V2-Obwjj-Fs2LM.mp4 |
3.04Мб |
| 11. Manipulate a DataFrame.html |
11.02Кб |
| 11. Markets Volatility.html |
6.60Кб |
| 11. Metric - Average Reading Duration.html |
8.22Кб |
| 11. Metric - Average Reading Duration-w6Y9ZxHDEbw.en.vtt |
2.58Кб |
| 11. Metric - Average Reading Duration-w6Y9ZxHDEbw.mp4 |
3.32Мб |
| 11. Metric - Average Reading Duration-w6Y9ZxHDEbw.pt-BR.vtt |
3.07Кб |
| 11. Metric - Average Reading Duration-w6Y9ZxHDEbw.zh-CN.vtt |
2.14Кб |
| 11. Minimizing Error Functions.html |
9.62Кб |
| 11. Minimizing Error Functions-RbT2TXN_6tY.en.vtt |
4.50Кб |
| 11. Minimizing Error Functions-RbT2TXN_6tY.mp4 |
3.85Мб |
| 11. Minimizing Error Functions-RbT2TXN_6tY.pt-BR.vtt |
4.58Кб |
| 11. Minimum Value.html |
8.40Кб |
| 11. Minimum Value-LconwqN7hJs.ar.vtt |
463б |
| 11. Minimum Value-LconwqN7hJs.en.vtt |
358б |
| 11. Minimum Value-LconwqN7hJs.es-ES.vtt |
388б |
| 11. Minimum Value-LconwqN7hJs.ja.vtt |
323б |
| 11. Minimum Value-LconwqN7hJs.mp4 |
893.30Кб |
| 11. Minimum Value-LconwqN7hJs.pt-BR.vtt |
332б |
| 11. Minimum Value-LconwqN7hJs.zh-CN.vtt |
316б |
| 11. Minimum Value-LNzmJUj8K8w.ar.vtt |
152б |
| 11. Minimum Value-LNzmJUj8K8w.en.vtt |
130б |
| 11. Minimum Value-LNzmJUj8K8w.es-ES.vtt |
141б |
| 11. Minimum Value-LNzmJUj8K8w.ja.vtt |
118б |
| 11. Minimum Value-LNzmJUj8K8w.mp4 |
661.10Кб |
| 11. Minimum Value-LNzmJUj8K8w.pt-BR.vtt |
171б |
| 11. Minimum Value-LNzmJUj8K8w.zh-CN.vtt |
146б |
| 11. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.en.vtt |
4.88Кб |
| 11. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.mp4 |
12.34Мб |
| 11. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.pt-BR.vtt |
3.90Кб |
| 11. MLND SL DT 08 Entropy Formula 2 MAIN V2-6GHg70hrSJw.zh-CN.vtt |
4.42Кб |
| 11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.en.vtt |
6.47Кб |
| 11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4 |
5.14Мб |
| 11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.pt-BR.vtt |
6.23Кб |
| 11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.zh-CN.vtt |
5.56Кб |
| 11. Modeling.html |
6.15Кб |
| 11. Modeling-P4w_2rkxBvE.en.vtt |
1.29Кб |
| 11. Modeling-P4w_2rkxBvE.mp4 |
1.19Мб |
| 11. Modeling-P4w_2rkxBvE.pt-BR.vtt |
1.44Кб |
| 11. Modeling-P4w_2rkxBvE.zh-CN.vtt |
1.09Кб |
| 11. Model Validations.html |
7.11Кб |
| 11. Multiclass Entropy.html |
9.26Кб |
| 11. MV 05 Time Management V1-22PdQNlhCt8.en.vtt |
3.09Кб |
| 11. MV 05 Time Management V1-22PdQNlhCt8.mp4 |
6.03Мб |
| 11. Naive Bayes Algorithm 1.html |
8.37Кб |
| 11. Network Architectures in PyTorch.html |
8.80Кб |
| 11. NumPy 6 V1-wtLRuGK0kW4.en.vtt |
5.58Кб |
| 11. NumPy 6 V1-wtLRuGK0kW4.mp4 |
6.61Мб |
| 11. NumPy 6 V1-wtLRuGK0kW4.pt-BR.vtt |
5.81Кб |
| 11. NumPy 6 V1-wtLRuGK0kW4.zh-CN.vtt |
4.90Кб |
| 11. Outro.html |
6.84Кб |
| 11. Outro.html |
5.95Кб |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt |
3.45Кб |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.en.vtt |
3.45Кб |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.ja-JP.vtt |
3.87Кб |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.ja-JP.vtt |
3.87Кб |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4 |
2.87Мб |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.mp4 |
2.87Мб |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt |
3.27Кб |
| 11. Perceptron Agorithm Pseudocode-p8Q3yu9YqYk.pt-BR.vtt |
3.27Кб |
| 11. Perceptron Algorithm.html |
16.71Кб |
| 11. Perceptron Algorithm.html |
16.72Кб |
| 11. Practice For Loops.html |
11.30Кб |
| 11. Precision.html |
9.09Кб |
| 11. Probability Given Test.html |
11.19Кб |
| 11. Probability Given Test-41HCYR-NW-w.ar.vtt |
524б |
| 11. Probability Given Test-41HCYR-NW-w.en.vtt |
370б |
| 11. Probability Given Test-41HCYR-NW-w.es-ES.vtt |
412б |
| 11. Probability Given Test-41HCYR-NW-w.ja.vtt |
350б |
| 11. Probability Given Test-41HCYR-NW-w.mp4 |
2.56Мб |
| 11. Probability Given Test-41HCYR-NW-w.pt-BR.vtt |
501б |
| 11. Probability Given Test-41HCYR-NW-w.zh-CN.vtt |
298б |
| 11. Probability Given Test-omC0zbJyzUY.ar.vtt |
1000б |
| 11. Probability Given Test-omC0zbJyzUY.en.vtt |
790б |
| 11. Probability Given Test-omC0zbJyzUY.es-ES.vtt |
757б |
| 11. Probability Given Test-omC0zbJyzUY.ja.vtt |
716б |
| 11. Probability Given Test-omC0zbJyzUY.mp4 |
6.72Мб |
| 11. Probability Given Test-omC0zbJyzUY.pt-BR.vtt |
899б |
| 11. Probability Given Test-omC0zbJyzUY.zh-CN.vtt |
609б |
| 11. PyTorch V2 Part 3 V1-9ILiZwbi9dA.en.vtt |
15.28Кб |
| 11. PyTorch V2 Part 3 V1-9ILiZwbi9dA.mp4 |
18.80Мб |
| 11. PyTorch V2 Part 3 V1-9ILiZwbi9dA.zh-CN.vtt |
12.07Кб |
| 11. Quiz Booleans, Comparison Operators, and Logical Operators.html |
12.15Кб |
| 11. Quiz dollar neutral and leverage ratio.html |
8.45Кб |
| 11. Quiz Test Returns for Statistical Significance.html |
11.14Кб |
| 11. Quiz Types of Errors - Part II(b).html |
22.33Кб |
| 11. Random Forests for Alpha Combination.html |
8.04Кб |
| 11. Ranking in Zipline.html |
16.46Кб |
| 11. Rebalancing Strategies.html |
6.85Кб |
| 11. Risk Factor Matrix.html |
7.47Кб |
| 11. Risk Factors v. Alpha Factors part 4.html |
8.84Кб |
| 11. Scalar by Vector Multiplication.html |
7.34Кб |
| 11. ScreenCast Traditional Confidence Interval Methods.html |
8.77Кб |
| 11. Simple MetaCharacters.html |
8.70Кб |
| 11. Summary.html |
5.93Кб |
| 11. Summary.html |
6.23Кб |
| 11. Taking constants out of Variance and Covariance (optional).html |
8.79Кб |
| 11. Time Management.html |
11.95Кб |
| 11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.en.vtt |
3.28Кб |
| 11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.mp4 |
3.89Мб |
| 11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.pt-BR.vtt |
3.00Кб |
| 11. Traditional vs. Bootstrapping Confidence Intervals-eZ8lyiumXDY.zh-CN.vtt |
2.70Кб |
| 11. Tree Shap Code Walkthrough (Optional).html |
18.42Кб |
| 11. Two Coins 1.html |
9.30Кб |
| 11. Two Coins 1-QIQBb4nLsHc.ar.vtt |
847б |
| 11. Two Coins 1-QIQBb4nLsHc.en.vtt |
655б |
| 11. Two Coins 1-QIQBb4nLsHc.es-ES.vtt |
729б |
| 11. Two Coins 1-QIQBb4nLsHc.it.vtt |
702б |
| 11. Two Coins 1-QIQBb4nLsHc.ja.vtt |
717б |
| 11. Two Coins 1-QIQBb4nLsHc.mp4 |
4.61Мб |
| 11. Two Coins 1-QIQBb4nLsHc.pt-BR.vtt |
688б |
| 11. Two Coins 1-QIQBb4nLsHc.th.vtt |
1.54Кб |
| 11. Two Coins 1-QIQBb4nLsHc.zh-CN.vtt |
616б |
| 11. Two Coins 1-SYnYIjLpbjE.ar.vtt |
286б |
| 11. Two Coins 1-SYnYIjLpbjE.en.vtt |
245б |
| 11. Two Coins 1-SYnYIjLpbjE.es-ES.vtt |
258б |
| 11. Two Coins 1-SYnYIjLpbjE.it.vtt |
240б |
| 11. Two Coins 1-SYnYIjLpbjE.ja.vtt |
237б |
| 11. Two Coins 1-SYnYIjLpbjE.mp4 |
1.42Мб |
| 11. Two Coins 1-SYnYIjLpbjE.pt-BR.vtt |
285б |
| 11. Two Coins 1-SYnYIjLpbjE.th.vtt |
415б |
| 11. Two Coins 1-SYnYIjLpbjE.zh-CN.vtt |
244б |
| 11. Two Flips 4.html |
9.40Кб |
| 11. Two Flips 4-bNoS6LQEFrI.ar.vtt |
900б |
| 11. Two Flips 4-bNoS6LQEFrI.en.vtt |
715б |
| 11. Two Flips 4-bNoS6LQEFrI.es-ES.vtt |
748б |
| 11. Two Flips 4-bNoS6LQEFrI.hr.vtt |
690б |
| 11. Two Flips 4-bNoS6LQEFrI.it.vtt |
742б |
| 11. Two Flips 4-bNoS6LQEFrI.ja.vtt |
623б |
| 11. Two Flips 4-bNoS6LQEFrI.mp4 |
2.98Мб |
| 11. Two Flips 4-bNoS6LQEFrI.pt-BR.vtt |
728б |
| 11. Two Flips 4-bNoS6LQEFrI.zh-CN.vtt |
658б |
| 11. Two Flips 4-rRPwknIDuI0.ar.vtt |
303б |
| 11. Two Flips 4-rRPwknIDuI0.en.vtt |
247б |
| 11. Two Flips 4-rRPwknIDuI0.es-ES.vtt |
252б |
| 11. Two Flips 4-rRPwknIDuI0.hr.vtt |
216б |
| 11. Two Flips 4-rRPwknIDuI0.it.vtt |
248б |
| 11. Two Flips 4-rRPwknIDuI0.ja.vtt |
216б |
| 11. Two Flips 4-rRPwknIDuI0.mp4 |
663.40Кб |
| 11. Two Flips 4-rRPwknIDuI0.pt-BR.vtt |
209б |
| 11. Two Flips 4-rRPwknIDuI0.th.vtt |
423б |
| 11. Two Flips 4-rRPwknIDuI0.zh-CN.vtt |
228б |
| 11. Vanishing Gradient.html |
6.88Кб |
| 11. Vanishing Gradient-W_JJm_5syFw.en.vtt |
1.46Кб |
| 11. Vanishing Gradient-W_JJm_5syFw.mp4 |
1.32Мб |
| 11. Vanishing Gradient-W_JJm_5syFw.pt-BR.vtt |
1.56Кб |
| 11. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt |
1.24Кб |
| 11. Variations of Pairs Trading and Mean Reversion Trading.html |
8.58Кб |
| 11. Video Introduction to Notation.html |
9.43Кб |
| 11. Video Why the Standard Deviation.html |
9.80Кб |
| 11. Why the Standard Deviation-XlTBvjQ2t8w.ar.vtt |
2.14Кб |
| 11. Why the Standard Deviation-XlTBvjQ2t8w.en.vtt |
1.60Кб |
| 11. Why the Standard Deviation-XlTBvjQ2t8w.mp4 |
6.54Мб |
| 11. Why the Standard Deviation-XlTBvjQ2t8w.pt-BR.vtt |
1.61Кб |
| 11. Why the Standard Deviation-XlTBvjQ2t8w.zh-CN.vtt |
1.30Кб |
| 11. Winners and Losers Content Quiz.html |
10.23Кб |
| 11. Writing it Down Part 4.html |
7.10Кб |
| 12. [Preview] Project Mimic Me!.html |
17.28Кб |
| 12. 02 Time Series Prediction V2-xV5jHLFfJbQ.en.vtt |
10.86Кб |
| 12. 02 Time Series Prediction V2-xV5jHLFfJbQ.mp4 |
14.80Мб |
| 12. 02 Time Series Prediction V2-xV5jHLFfJbQ.pt-BR.vtt |
10.48Кб |
| 12. 02 Time Series Prediction V2-xV5jHLFfJbQ.zh-CN.vtt |
8.72Кб |
| 12. 07 Recall SC V1-0n5wUZiefkQ.en.vtt |
3.05Кб |
| 12. 07 Recall SC V1-0n5wUZiefkQ.mp4 |
2.15Мб |
| 12. 07 Recall SC V1-0n5wUZiefkQ.pt-BR.vtt |
2.79Кб |
| 12. 10 NegativeSampling V1-gnCwdegYNsQ.en.vtt |
7.03Кб |
| 12. 10 NegativeSampling V1-gnCwdegYNsQ.mp4 |
9.51Мб |
| 12. 10 NegativeSampling V1-gnCwdegYNsQ.pt-BR.vtt |
7.41Кб |
| 12. 10 NegativeSampling V1-gnCwdegYNsQ.zh-CN.vtt |
5.96Кб |
| 12. 3 or more stocks (optional).html |
9.43Кб |
| 12. Avoid N by N matrix.html |
7.86Кб |
| 12. Binomial 3.html |
8.54Кб |
| 12. Binomial 3-Jp2xJOtNQZ0.ar.vtt |
819б |
| 12. Binomial 3-Jp2xJOtNQZ0.en.vtt |
628б |
| 12. Binomial 3-Jp2xJOtNQZ0.es-ES.vtt |
665б |
| 12. Binomial 3-Jp2xJOtNQZ0.ja.vtt |
572б |
| 12. Binomial 3-Jp2xJOtNQZ0.mp4 |
4.67Мб |
| 12. Binomial 3-Jp2xJOtNQZ0.pt-BR.vtt |
694б |
| 12. Binomial 3-Jp2xJOtNQZ0.zh-CN.vtt |
554б |
| 12. Binomial 3-YIELbuet-ZE.ar.vtt |
1.85Кб |
| 12. Binomial 3-YIELbuet-ZE.en.vtt |
1.27Кб |
| 12. Binomial 3-YIELbuet-ZE.es-ES.vtt |
1.27Кб |
| 12. Binomial 3-YIELbuet-ZE.ja.vtt |
1.15Кб |
| 12. Binomial 3-YIELbuet-ZE.mp4 |
7.14Мб |
| 12. Binomial 3-YIELbuet-ZE.pt-BR.vtt |
1.46Кб |
| 12. Binomial 3-YIELbuet-ZE.zh-CN.vtt |
1010б |
| 12. Breusch Pagan in Depth (Optional).html |
8.56Кб |
| 12. Categorical Factors.html |
7.56Кб |
| 12. Character Sets.html |
8.67Кб |
| 12. Creating ndarrays with Broadcasting.html |
7.87Кб |
| 12. Eddy Thomas 01 Quants V2-ZRzhyaqz7I0.mp4 |
23.82Мб |
| 12. Entropy Formula 3.html |
8.46Кб |
| 12. Entropy Formula-w73JTBVeyjE.en.vtt |
2.93Кб |
| 12. Entropy Formula-w73JTBVeyjE.mp4 |
8.00Мб |
| 12. Entropy Formula-w73JTBVeyjE.pt-BR.vtt |
2.61Кб |
| 12. Entropy Formula-w73JTBVeyjE.zh-CN.vtt |
2.54Кб |
| 12. Errors and Exceptions.html |
12.69Кб |
| 12. Finishing up.html |
6.34Кб |
| 12. Hang Seng Index Construction.html |
9.39Кб |
| 12. How an alpha factor becomes a risk factor part 1.html |
8.39Кб |
| 12. Index vs ETF.html |
7.40Кб |
| 12. Insights from a Quant.html |
6.05Кб |
| 12. Interlude Meditation.html |
6.18Кб |
| 12. Introduction to Summary Statistics-PCZmHCrcMcw.ar.vtt |
3.17Кб |
| 12. Introduction to Summary Statistics-PCZmHCrcMcw.en.vtt |
2.34Кб |
| 12. Introduction to Summary Statistics-PCZmHCrcMcw.mp4 |
3.98Мб |
| 12. Introduction to Summary Statistics-PCZmHCrcMcw.pt-BR.vtt |
2.56Кб |
| 12. Introduction to Summary Statistics-PCZmHCrcMcw.zh-CN.vtt |
2.07Кб |
| 12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.en.vtt |
979б |
| 12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.mp4 |
768.11Кб |
| 12. KALMAN QUIZ Predicting The Peak 01 RENDER V1-_fGH3xJMxdM.zh-CN.vtt |
859б |
| 12. K-Means Clustering Visualization 3.html |
7.37Кб |
| 12. K-Means Clustering Visualization 3-WfwX3B4d8_I.ar.vtt |
3.67Кб |
| 12. K-Means Clustering Visualization 3-WfwX3B4d8_I.en.vtt |
2.59Кб |
| 12. K-Means Clustering Visualization 3-WfwX3B4d8_I.mp4 |
6.92Мб |
| 12. K-Means Clustering Visualization 3-WfwX3B4d8_I.pt-BR.vtt |
2.55Кб |
| 12. K-Means Clustering Visualization 3-WfwX3B4d8_I.zh-CN.vtt |
2.27Кб |
| 12. L1 13 Hang Seng Index Construction V2-rdGdC-meRLU.en.vtt |
1.92Кб |
| 12. L1 13 Hang Seng Index Construction V2-rdGdC-meRLU.mp4 |
5.77Мб |
| 12. L4 13 Limitations V2-UbbZa7-3iuk.en.vtt |
9.13Кб |
| 12. L4 13 Limitations V2-UbbZa7-3iuk.mp4 |
23.20Мб |
| 12. L4 17 HS Outro V2-oH7B6EyLE0k.en.vtt |
1.19Кб |
| 12. L4 17 HS Outro V2-oH7B6EyLE0k.mp4 |
4.52Мб |
| 12. Limitations of the Classical Approach.html |
6.87Кб |
| 12. Linear Transformation Quiz Answers.html |
12.82Кб |
| 12. Loading Data into a pandas DataFrame.html |
35.94Кб |
| 12. M2L5 12 Using Volatility For Equity Trading V5-Vh9ajVRedvY.en.vtt |
6.52Кб |
| 12. M2L5 12 Using Volatility For Equity Trading V5-Vh9ajVRedvY.mp4 |
15.13Мб |
| 12. M4 L1B 11 How An Alpha Factor Becomes A Risk Factor Part 1 V3-p0cTudt8kXI.en.vtt |
2.48Кб |
| 12. M4 L1B 11 How An Alpha Factor Becomes A Risk Factor Part 1 V3-p0cTudt8kXI.mp4 |
3.64Мб |
| 12. M4 L2A 08 Variance Of 2 Stocks Part 1 V3-PlPusmuR20k.en.vtt |
3.92Кб |
| 12. M4 L2A 08 Variance Of 2 Stocks Part 1 V3-PlPusmuR20k.mp4 |
3.96Мб |
| 12. M4 L2A 23 Categorical Factors V2-F76juAxHVIk.en.vtt |
3.18Кб |
| 12. M4 L2A 23 Categorical Factors V2-F76juAxHVIk.mp4 |
2.92Мб |
| 12. M4 L2b 13 Principal Components V3-XtecKk58CLs.en.vtt |
1.97Кб |
| 12. M4 L2b 13 Principal Components V3-XtecKk58CLs.mp4 |
2.38Мб |
| 12. M4 L3b 09 Winners And Losers Creating A Joint Factor V3-xmW05ii8Vxs.en.vtt |
4.18Кб |
| 12. M4 L3b 09 Winners And Losers Creating A Joint Factor V3-xmW05ii8Vxs.mp4 |
11.15Мб |
| 12. M4 L4 14 Transaction Costs V3-yxwqTvbJhhc.en.vtt |
3.56Кб |
| 12. M4 L4 14 Transaction Costs V3-yxwqTvbJhhc.mp4 |
4.97Мб |
| 12. M5 SC 7 Metacharacters Part 2 V1-KK1xo8GDfvE.en.vtt |
10.32Кб |
| 12. M5 SC 7 Metacharacters Part 2 V1-KK1xo8GDfvE.mp4 |
22.56Мб |
| 12. M8l2 14 N By N Matrix V3-qYAWhI8hk7U.en.vtt |
1.87Кб |
| 12. M8l2 14 N By N Matrix V3-qYAWhI8hk7U.mp4 |
1.96Мб |
| 12. Mean vs Total Error.html |
8.87Кб |
| 12. Metric - Average Classroom Time.html |
11.38Кб |
| 12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.en.vtt |
771б |
| 12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.mp4 |
2.16Мб |
| 12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.pt-BR.vtt |
723б |
| 12. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.zh-CN.vtt |
727б |
| 12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.en.vtt |
1.74Кб |
| 12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp4 |
1.41Мб |
| 12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.pt-BR.vtt |
1.70Кб |
| 12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.zh-CN.vtt |
1.50Кб |
| 12. Modeling.html |
6.24Кб |
| 12. Modeling-P4w_2rkxBvE.en.vtt |
1.29Кб |
| 12. Modeling-P4w_2rkxBvE.mp4 |
1.19Мб |
| 12. Modeling-P4w_2rkxBvE.pt-BR.vtt |
1.44Кб |
| 12. Modeling-P4w_2rkxBvE.zh-CN.vtt |
1.09Кб |
| 12. MV 11 Guided Meditation V1-njp1mnEEv9s.en.vtt |
3.93Кб |
| 12. MV 11 Guided Meditation V1-njp1mnEEv9s.mp4 |
9.45Мб |
| 12. Naive Bayes Algorithm 2.html |
7.01Кб |
| 12. Negative Sampling.html |
7.08Кб |
| 12. Network Architectures Solution.html |
8.92Кб |
| 12. Non-Linear Regions.html |
9.12Кб |
| 12. Non-Linear Regions.html |
9.13Кб |
| 12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt |
1.77Кб |
| 12. Non-Linear Regions-B8UrWnHh1Wc.en.vtt |
1.77Кб |
| 12. Non-Linear Regions-B8UrWnHh1Wc.mp4 |
1.33Мб |
| 12. Non-Linear Regions-B8UrWnHh1Wc.mp4 |
1.33Мб |
| 12. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt |
1.51Кб |
| 12. Non-Linear Regions-B8UrWnHh1Wc.pt-BR.vtt |
1.51Кб |
| 12. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt |
1.56Кб |
| 12. Non-Linear Regions-B8UrWnHh1Wc.zh-CN.vtt |
1.56Кб |
| 12. Normalizer.html |
10.69Кб |
| 12. Normalizer.html |
6.88Кб |
| 12. Normalizer-G9yQ_URDrDQ.ar.vtt |
144б |
| 12. Normalizer-G9yQ_URDrDQ.en.vtt |
129б |
| 12. Normalizer-G9yQ_URDrDQ.es-ES.vtt |
138б |
| 12. Normalizer-G9yQ_URDrDQ.ja.vtt |
132б |
| 12. Normalizer-G9yQ_URDrDQ.mp4 |
603.29Кб |
| 12. Normalizer-G9yQ_URDrDQ.pt-BR.vtt |
125б |
| 12. Normalizer-G9yQ_URDrDQ.zh-CN.vtt |
129б |
| 12. Normalizer-mQ_IjrtmmAk.ar.vtt |
2.43Кб |
| 12. Normalizer-mQ_IjrtmmAk.en.vtt |
1.92Кб |
| 12. Normalizer-mQ_IjrtmmAk.es-ES.vtt |
2.01Кб |
| 12. Normalizer-mQ_IjrtmmAk.ja.vtt |
1.76Кб |
| 12. Normalizer-mQ_IjrtmmAk.mp4 |
7.25Мб |
| 12. Normalizer-mQ_IjrtmmAk.pt-BR.vtt |
2.10Кб |
| 12. Normalizer-mQ_IjrtmmAk.zh-CN.vtt |
1.46Кб |
| 12. Normalizer-W5i-gRAvZxs.ar.vtt |
163б |
| 12. Normalizer-W5i-gRAvZxs.en.vtt |
136б |
| 12. Normalizer-W5i-gRAvZxs.es-ES.vtt |
140б |
| 12. Normalizer-W5i-gRAvZxs.ja.vtt |
134б |
| 12. Normalizer-W5i-gRAvZxs.mp4 |
754.47Кб |
| 12. Normalizer-W5i-gRAvZxs.pt-BR.vtt |
162б |
| 12. Normalizer-W5i-gRAvZxs.zh-CN.vtt |
123б |
| 12. Notation Parameters vs. Statistics-webref_dLrA.ar.vtt |
1.99Кб |
| 12. Notation Parameters vs. Statistics-webref_dLrA.en.vtt |
1.59Кб |
| 12. Notation Parameters vs. Statistics-webref_dLrA.mp4 |
6.33Мб |
| 12. Notation Parameters vs. Statistics-webref_dLrA.pt-BR.vtt |
1.71Кб |
| 12. Notation Parameters vs. Statistics-webref_dLrA.zh-CN.vtt |
1.27Кб |
| 12. Other Activation Functions.html |
7.25Кб |
| 12. Other Activation Functions-kA-1vUt6cvQ.en.vtt |
2.68Кб |
| 12. Other Activation Functions-kA-1vUt6cvQ.mp4 |
2.30Мб |
| 12. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt |
2.55Кб |
| 12. Other Activation Functions-kA-1vUt6cvQ.zh-CN.vtt |
2.34Кб |
| 12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.en.vtt |
2.22Кб |
| 12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.mp4 |
6.30Мб |
| 12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.pt-BR.vtt |
2.17Кб |
| 12. Other Language Associated With Confidence Intervals-9KYVRx7-llg.zh-CN.vtt |
1.75Кб |
| 12. Outro.html |
6.18Кб |
| 12. Pandas 7 V1-ruTYp-twXO0.en.vtt |
5.40Кб |
| 12. Pandas 7 V1-ruTYp-twXO0.mp4 |
8.09Мб |
| 12. Pandas 7 V1-ruTYp-twXO0.pt-BR.vtt |
6.50Кб |
| 12. Pandas 7 V1-ruTYp-twXO0.zh-CN.vtt |
4.77Кб |
| 12. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.en.vtt |
15.36Кб |
| 12. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.mp4 |
21.27Мб |
| 12. PyTorch V2 Part 3 Solution V2-zBWlOeX2sQM.zh-CN.vtt |
11.96Кб |
| 12. Quiz Information Gain.html |
9.51Кб |
| 12. Quiz Lambda Expressions.html |
10.17Кб |
| 12. Quiz Predicting the Peak.html |
9.68Кб |
| 12. Quiz Statistical Analysis.html |
9.71Кб |
| 12. Rank Features Exercise.html |
7.84Кб |
| 12. Ranking exercise.html |
12.18Кб |
| 12. Recall.html |
9.25Кб |
| 12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt |
678б |
| 12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt |
501б |
| 12. Reflect on your commit messages-_0AHmKkfjTo.ja-JP.vtt |
610б |
| 12. Reflect on your commit messages-_0AHmKkfjTo.mp4 |
3.03Мб |
| 12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt |
538б |
| 12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt |
473б |
| 12. Reflect on your commit messages.html |
8.54Кб |
| 12. Solution Booleans, Comparison and Logical Operators.html |
10.02Кб |
| 12. Solution For Loops Practice.html |
9.60Кб |
| 12. Text Processing Coding Examples.html |
7.01Кб |
| 12. Text Recap + Next Steps.html |
7.10Кб |
| 12. The Principal Components.html |
7.10Кб |
| 12. The Sharpe Ratio.html |
11.16Кб |
| 12. Time-Series Prediction.html |
8.22Кб |
| 12. Training the Model.html |
13.24Кб |
| 12. Transaction Costs.html |
7.03Кб |
| 12. Two Coins 2.html |
9.21Кб |
| 12. Two Coins 2-hoVOT8qcQ7c.ar.vtt |
2.12Кб |
| 12. Two Coins 2-hoVOT8qcQ7c.en.vtt |
1.61Кб |
| 12. Two Coins 2-hoVOT8qcQ7c.es-ES.vtt |
1.72Кб |
| 12. Two Coins 2-hoVOT8qcQ7c.it.vtt |
1.76Кб |
| 12. Two Coins 2-hoVOT8qcQ7c.ja.vtt |
1.68Кб |
| 12. Two Coins 2-hoVOT8qcQ7c.mp4 |
10.92Мб |
| 12. Two Coins 2-hoVOT8qcQ7c.pt-BR.vtt |
1.53Кб |
| 12. Two Coins 2-hoVOT8qcQ7c.th.vtt |
3.25Кб |
| 12. Two Coins 2-hoVOT8qcQ7c.zh-CN.vtt |
1.55Кб |
| 12. Two Coins 2-tI0J14yQr1s.ar.vtt |
1.04Кб |
| 12. Two Coins 2-tI0J14yQr1s.en.vtt |
798б |
| 12. Two Coins 2-tI0J14yQr1s.es-ES.vtt |
837б |
| 12. Two Coins 2-tI0J14yQr1s.it.vtt |
832б |
| 12. Two Coins 2-tI0J14yQr1s.ja.vtt |
819б |
| 12. Two Coins 2-tI0J14yQr1s.mp4 |
4.52Мб |
| 12. Two Coins 2-tI0J14yQr1s.pt-BR.vtt |
702б |
| 12. Two Coins 2-tI0J14yQr1s.th.vtt |
1.64Кб |
| 12. Two Coins 2-tI0J14yQr1s.zh-CN.vtt |
713б |
| 12. Two Flips 5.html |
9.50Кб |
| 12. Two Flips 5-G28YyiGFGWA.ar.vtt |
437б |
| 12. Two Flips 5-G28YyiGFGWA.en.vtt |
349б |
| 12. Two Flips 5-G28YyiGFGWA.es-ES.vtt |
366б |
| 12. Two Flips 5-G28YyiGFGWA.hr.vtt |
383б |
| 12. Two Flips 5-G28YyiGFGWA.it.vtt |
382б |
| 12. Two Flips 5-G28YyiGFGWA.ja.vtt |
370б |
| 12. Two Flips 5-G28YyiGFGWA.mp4 |
2.15Мб |
| 12. Two Flips 5-G28YyiGFGWA.pt-BR.vtt |
377б |
| 12. Two Flips 5-G28YyiGFGWA.th.vtt |
654б |
| 12. Two Flips 5-G28YyiGFGWA.zh-CN.vtt |
348б |
| 12. Two Flips 5-HB8b7sZQFGs.ar.vtt |
650б |
| 12. Two Flips 5-HB8b7sZQFGs.en.vtt |
549б |
| 12. Two Flips 5-HB8b7sZQFGs.es-ES.vtt |
566б |
| 12. Two Flips 5-HB8b7sZQFGs.hr.vtt |
575б |
| 12. Two Flips 5-HB8b7sZQFGs.it.vtt |
598б |
| 12. Two Flips 5-HB8b7sZQFGs.ja.vtt |
527б |
| 12. Two Flips 5-HB8b7sZQFGs.mp4 |
990.87Кб |
| 12. Two Flips 5-HB8b7sZQFGs.pt-BR.vtt |
516б |
| 12. Two Flips 5-HB8b7sZQFGs.th.vtt |
729б |
| 12. Two Flips 5-HB8b7sZQFGs.zh-CN.vtt |
558б |
| 12. Types of Errors - Part III.html |
11.14Кб |
| 12. Types Of Errors - Part III-Z-srkCPsdaM.en.vtt |
2.90Кб |
| 12. Types Of Errors - Part III-Z-srkCPsdaM.mp4 |
3.94Мб |
| 12. Types Of Errors - Part III-Z-srkCPsdaM.pt-BR.vtt |
2.94Кб |
| 12. Types Of Errors - Part III-Z-srkCPsdaM.zh-CN.vtt |
2.54Кб |
| 12. Up Next.html |
7.99Кб |
| 12. Using Volatility for Equity Trading.html |
6.66Кб |
| 12. Variance of 2 stocks part 1.html |
8.05Кб |
| 12. Variance Standard Deviation Final Points-vXUgp2375j4.ar.vtt |
2.80Кб |
| 12. Variance Standard Deviation Final Points-vXUgp2375j4.en.vtt |
1.91Кб |
| 12. Variance Standard Deviation Final Points-vXUgp2375j4.mp4 |
5.31Мб |
| 12. Variance Standard Deviation Final Points-vXUgp2375j4.pt-BR.vtt |
2.14Кб |
| 12. Variance Standard Deviation Final Points-vXUgp2375j4.zh-CN.vtt |
1.59Кб |
| 12. Vectors Quiz 3.html |
9.69Кб |
| 12. Video Important Final Points.html |
11.37Кб |
| 12. Video Introduction to Summary Statistics.html |
9.11Кб |
| 12. Video Notation for Parameters vs. Statistics.html |
12.52Кб |
| 12. Video Other Language Associated with Confidence Intervals.html |
9.04Кб |
| 12. Winners and Losers Creating a joint factor.html |
8.95Кб |
| 12. Zipline Pipeline.html |
7.39Кб |
| 12. Zipline Pipeline SC V1-DHTwIwVk_sc.en.vtt |
14.24Кб |
| 12. Zipline Pipeline SC V1-DHTwIwVk_sc.mp4 |
23.46Мб |
| 13. 03 Training Memory V1-sx7T_KP5v9I.en.vtt |
7.85Кб |
| 13. 03 Training Memory V1-sx7T_KP5v9I.mp4 |
9.57Мб |
| 13. 03 Training Memory V1-sx7T_KP5v9I.pt-BR.vtt |
7.42Кб |
| 13. 03 Training Memory V1-sx7T_KP5v9I.zh-CN.vtt |
6.40Кб |
| 13. 04 L Types Of Errors-Twf1qnPZeSY.en-US.vtt |
6.89Кб |
| 13. 04 L Types Of Errors-Twf1qnPZeSY.mp4 |
6.55Мб |
| 13. 04 L Types Of Errors-Twf1qnPZeSY.pt-BR.vtt |
6.23Кб |
| 13. 04 L Types Of Errors-Twf1qnPZeSY.zh-CN.vtt |
6.02Кб |
| 13. Advanced Standard Deviation and Variance.html |
13.16Кб |
| 13. Alternative Data.html |
6.59Кб |
| 13. Answer Predicting the Peak.html |
8.32Кб |
| 13. Batch vs Stochastic Gradient Descent.html |
7.01Кб |
| 13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.en.vtt |
4.64Кб |
| 13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4 |
3.95Мб |
| 13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.pt-BR.vtt |
4.63Кб |
| 13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.zh-CN.vtt |
4.10Кб |
| 13. Binomial 4.html |
8.54Кб |
| 13. Binomial 4-lPrKmvckG4E.ar.vtt |
1.39Кб |
| 13. Binomial 4-lPrKmvckG4E.en.vtt |
1.12Кб |
| 13. Binomial 4-lPrKmvckG4E.es-ES.vtt |
1.11Кб |
| 13. Binomial 4-lPrKmvckG4E.ja.vtt |
1.08Кб |
| 13. Binomial 4-lPrKmvckG4E.mp4 |
2.95Мб |
| 13. Binomial 4-lPrKmvckG4E.pt-BR.vtt |
1.48Кб |
| 13. Binomial 4-lPrKmvckG4E.zh-CN.vtt |
920б |
| 13. Binomial 4-mvJUNYfHngY.ar.vtt |
654б |
| 13. Binomial 4-mvJUNYfHngY.en.vtt |
479б |
| 13. Binomial 4-mvJUNYfHngY.es-ES.vtt |
502б |
| 13. Binomial 4-mvJUNYfHngY.ja.vtt |
403б |
| 13. Binomial 4-mvJUNYfHngY.mp4 |
2.75Мб |
| 13. Binomial 4-mvJUNYfHngY.pt-BR.vtt |
500б |
| 13. Binomial 4-mvJUNYfHngY.zh-CN.vtt |
321б |
| 13. Breakout Strategies.html |
6.55Кб |
| 13. Building a Spam Classifier.html |
7.95Кб |
| 13. Calculating the Mean-1nzZxmJ8xvU.ar.vtt |
3.11Кб |
| 13. Calculating the Mean-1nzZxmJ8xvU.en.vtt |
2.36Кб |
| 13. Calculating the Mean-1nzZxmJ8xvU.mp4 |
5.46Мб |
| 13. Calculating the Mean-1nzZxmJ8xvU.pt-BR.vtt |
2.56Кб |
| 13. Calculating the Mean-1nzZxmJ8xvU.zh-CN.vtt |
2.12Кб |
| 13. Case Study in Python.html |
18.35Кб |
| 13. Categorical Variable Estimation.html |
7.63Кб |
| 13. Details of Johansen Test (optional).html |
11.98Кб |
| 13. Error Functions.html |
9.21Кб |
| 13. Error Functions.html |
9.23Кб |
| 13. Error Functions-YfUUunxWIJw.en.vtt |
790б |
| 13. Error Functions-YfUUunxWIJw.en.vtt |
790б |
| 13. Error Functions-YfUUunxWIJw.ja-JP.vtt |
910б |
| 13. Error Functions-YfUUunxWIJw.ja-JP.vtt |
910б |
| 13. Error Functions-YfUUunxWIJw.mp4 |
3.54Мб |
| 13. Error Functions-YfUUunxWIJw.mp4 |
3.54Мб |
| 13. Error Functions-YfUUunxWIJw.pt-BR.vtt |
804б |
| 13. Error Functions-YfUUunxWIJw.pt-BR.vtt |
804б |
| 13. Error Functions-YfUUunxWIJw.zh-CN.vtt |
739б |
| 13. Error Functions-YfUUunxWIJw.zh-CN.vtt |
739б |
| 13. Explained Variance.html |
7.39Кб |
| 13. Finding Alpha.html |
6.66Кб |
| 13. Formula Summary.html |
6.94Кб |
| 13. Formula Summary-zqo1RJEHT_0.ar.vtt |
2.60Кб |
| 13. Formula Summary-zqo1RJEHT_0.en.vtt |
2.05Кб |
| 13. Formula Summary-zqo1RJEHT_0.es-ES.vtt |
2.13Кб |
| 13. Formula Summary-zqo1RJEHT_0.ja.vtt |
1.86Кб |
| 13. Formula Summary-zqo1RJEHT_0.mp4 |
12.55Мб |
| 13. Formula Summary-zqo1RJEHT_0.pt-BR.vtt |
2.21Кб |
| 13. Formula Summary-zqo1RJEHT_0.zh-CN.vtt |
1.65Кб |
| 13. Getting Set Up for the Mini-Project.html |
7.30Кб |
| 13. Getting Set Up for the Mini-Project.html |
7.38Кб |
| 13. Groups.html |
8.67Кб |
| 13. Handling Errors.html |
11.99Кб |
| 13. Handling Error Specifying Exceptions-EHW5I7shdJg.ar.vtt |
2.89Кб |
| 13. Handling Error Specifying Exceptions-EHW5I7shdJg.en.vtt |
2.04Кб |
| 13. Handling Error Specifying Exceptions-EHW5I7shdJg.mp4 |
3.15Мб |
| 13. Handling Error Specifying Exceptions-EHW5I7shdJg.pt-BR.vtt |
2.31Кб |
| 13. Handling Error Specifying Exceptions-EHW5I7shdJg.zh-CN.vtt |
1.94Кб |
| 13. Handling Errors Try Except Finally-S6hwBZG0KwM.ar.vtt |
4.30Кб |
| 13. Handling Errors Try Except Finally-S6hwBZG0KwM.en.vtt |
2.97Кб |
| 13. Handling Errors Try Except Finally-S6hwBZG0KwM.mp4 |
4.24Мб |
| 13. Handling Errors Try Except Finally-S6hwBZG0KwM.pt-BR.vtt |
3.39Кб |
| 13. Handling Errors Try Except Finally-S6hwBZG0KwM.zh-CN.vtt |
2.82Кб |
| 13. How an alpha factor becomes a risk factor part 2.html |
9.48Кб |
| 13. Index after Add or Delete.html |
7.92Кб |
| 13. Information Gain-k9iZL53PAmw.en.vtt |
3.35Кб |
| 13. Information Gain-k9iZL53PAmw.mp4 |
9.24Мб |
| 13. Information Gain-k9iZL53PAmw.pt-BR.vtt |
2.81Кб |
| 13. Information Gain-k9iZL53PAmw.zh-CN.vtt |
2.90Кб |
| 13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.en.vtt |
815б |
| 13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.mp4 |
677.46Кб |
| 13. KALMAN QUIZ Predicting The Peak 02 RENDER V1-mcwr6FcP2Vc.zh-CN.vtt |
686б |
| 13. L1 15 Calculating Index After Add Or Delete V2-hiAHRE6JY0k.en.vtt |
1.29Кб |
| 13. L1 15 Calculating Index After Add Or Delete V2-hiAHRE6JY0k.mp4 |
3.70Мб |
| 13. L4 14 Recap V1-e3qJYCQfJD0.en.vtt |
783б |
| 13. L4 14 Recap V1-e3qJYCQfJD0.mp4 |
2.61Мб |
| 13. M1L4 16 Alternate Data V2-DFwu2ysGY8c.en.vtt |
1.24Кб |
| 13. M1L4 16 Alternate Data V2-DFwu2ysGY8c.mp4 |
1.21Кб |
| 13. M1L6 12 Finding Alpha V1-r8lfWVhfQC0.en.vtt |
1.75Кб |
| 13. M1L6 12 Finding Alpha V1-r8lfWVhfQC0.mp4 |
4.53Мб |
| 13. M2L5 13 Breakout Strategies V4-9eamk40DMu0.en.vtt |
2.62Кб |
| 13. M2L5 13 Breakout Strategies V4-9eamk40DMu0.mp4 |
2.63Мб |
| 13. M4 L1B 12 How An Alpha Factor Becomes A Risk Factor Part 2 V1-9waaTtRaU-Y.en.vtt |
3.06Кб |
| 13. M4 L1B 12 How An Alpha Factor Becomes A Risk Factor Part 2 V1-9waaTtRaU-Y.mp4 |
9.44Мб |
| 13. M4 L2A 09 Variance Of 2 Stocks Part 2 V4-tSMutw0f6OE.en.vtt |
1.86Кб |
| 13. M4 L2A 09 Variance Of 2 Stocks Part 2 V4-tSMutw0f6OE.mp4 |
1.96Мб |
| 13. M4 L2A 24 Categorical Variable Estimation V4-50hvTluqz3U.en.vtt |
4.51Кб |
| 13. M4 L2A 24 Categorical Variable Estimation V4-50hvTluqz3U.mp4 |
4.22Мб |
| 13. M4 L2b 14 Explained Variance V3-OdHeReNUqoQ.en.vtt |
5.10Кб |
| 13. M4 L2b 14 Explained Variance V3-OdHeReNUqoQ.mp4 |
8.69Мб |
| 13. M4 L3a 08 Z Score V3-6_cKCoLa92o.en.vtt |
3.86Кб |
| 13. M4 L3a 08 Z Score V3-6_cKCoLa92o.mp4 |
7.47Мб |
| 13. M5 SC 8 Metacharacters Part 3 V1-nDlxRlDUNHk.en.vtt |
6.55Кб |
| 13. M5 SC 8 Metacharacters Part 3 V1-nDlxRlDUNHk.mp4 |
17.63Мб |
| 13. M7L7 59 Run Starter Code V1-T3K68vodL5E.en.vtt |
2.17Кб |
| 13. M7L7 59 Run Starter Code V1-T3K68vodL5E.mp4 |
3.60Мб |
| 13. M7L7 60 Rank Sklearn V1-qZc-VBI4wY0.en.vtt |
1.57Кб |
| 13. M7L7 60 Rank Sklearn V1-qZc-VBI4wY0.mp4 |
2.52Мб |
| 13. M7L7 61 Rank Sklearn Solution V1-p6_reRrh3p0.en.vtt |
1.04Кб |
| 13. M7L7 61 Rank Sklearn Solution V1-p6_reRrh3p0.mp4 |
1.39Мб |
| 13. M7L7 62 Shap V1-KidZpvQ9Sus.en.vtt |
3.36Кб |
| 13. M7L7 62 Shap V1-KidZpvQ9Sus.mp4 |
6.14Мб |
| 13. M7L7 63 Local Global V1-8JiJ3R2F3Ng.en.vtt |
1.76Кб |
| 13. M7L7 63 Local Global V1-8JiJ3R2F3Ng.mp4 |
1.99Мб |
| 13. M7L7 64 Rank Shap Intro V1-7b_CpMxqVYc.en.vtt |
2.11Кб |
| 13. M7L7 64 Rank Shap Intro V1-7b_CpMxqVYc.mp4 |
3.78Мб |
| 13. M7L7 65 Rank Shap Solution V1-jkAxXatozUo.en.vtt |
2.57Кб |
| 13. M7L7 65 Rank Shap Solution V1-jkAxXatozUo.mp4 |
4.68Мб |
| 13. M7L7 66 Discussion V1-oTUWNw8X45M.en.vtt |
4.19Кб |
| 13. M7L7 66 Discussion V1-oTUWNw8X45M.mp4 |
4.81Мб |
| 13. M8l2 16 Risk Aversion V1-tmTqo-yfQKE.en.vtt |
1.48Кб |
| 13. M8l2 16 Risk Aversion V1-tmTqo-yfQKE.mp4 |
1.32Мб |
| 13. Metric - Completion Rate.html |
10.44Кб |
| 13. Mini-batch Gradient Descent.html |
9.23Кб |
| 13. Normalizing Probability.html |
11.65Кб |
| 13. Normalizing Probability-V_Gqm42WodI.ar.vtt |
481б |
| 13. Normalizing Probability-V_Gqm42WodI.en.vtt |
353б |
| 13. Normalizing Probability-V_Gqm42WodI.es-ES.vtt |
390б |
| 13. Normalizing Probability-V_Gqm42WodI.ja.vtt |
332б |
| 13. Normalizing Probability-V_Gqm42WodI.mp4 |
2.17Мб |
| 13. Normalizing Probability-V_Gqm42WodI.pt-BR.vtt |
440б |
| 13. Normalizing Probability-V_Gqm42WodI.th.vtt |
717б |
| 13. Normalizing Probability-V_Gqm42WodI.zh-CN.vtt |
320б |
| 13. Normalizing Probability-yYqN9Mf4jqw.ar.vtt |
1.59Кб |
| 13. Normalizing Probability-yYqN9Mf4jqw.en.vtt |
1.11Кб |
| 13. Normalizing Probability-yYqN9Mf4jqw.es-ES.vtt |
1.23Кб |
| 13. Normalizing Probability-yYqN9Mf4jqw.ja.vtt |
1.16Кб |
| 13. Normalizing Probability-yYqN9Mf4jqw.mp4 |
9.25Мб |
| 13. Normalizing Probability-yYqN9Mf4jqw.pt-BR.vtt |
1.35Кб |
| 13. Normalizing Probability-yYqN9Mf4jqw.th.vtt |
2.05Кб |
| 13. Normalizing Probability-yYqN9Mf4jqw.zh-CN.vtt |
962б |
| 13. One Head 1.html |
9.48Кб |
| 13. One Head 1-lHuZpDkfwq8.ar.vtt |
717б |
| 13. One Head 1-lHuZpDkfwq8.en.vtt |
553б |
| 13. One Head 1-lHuZpDkfwq8.es-ES.vtt |
575б |
| 13. One Head 1-lHuZpDkfwq8.hr.vtt |
539б |
| 13. One Head 1-lHuZpDkfwq8.it.vtt |
618б |
| 13. One Head 1-lHuZpDkfwq8.ja.vtt |
584б |
| 13. One Head 1-lHuZpDkfwq8.mp4 |
3.66Мб |
| 13. One Head 1-lHuZpDkfwq8.pt-BR.vtt |
642б |
| 13. One Head 1-lHuZpDkfwq8.th.vtt |
970б |
| 13. One Head 1-lHuZpDkfwq8.zh-CN.vtt |
507б |
| 13. One Head 1-T4A5uyqesjo.ar.vtt |
845б |
| 13. One Head 1-T4A5uyqesjo.en.vtt |
617б |
| 13. One Head 1-T4A5uyqesjo.es-ES.vtt |
656б |
| 13. One Head 1-T4A5uyqesjo.hr.vtt |
599б |
| 13. One Head 1-T4A5uyqesjo.it.vtt |
656б |
| 13. One Head 1-T4A5uyqesjo.ja.vtt |
597б |
| 13. One Head 1-T4A5uyqesjo.mp4 |
1.51Мб |
| 13. One Head 1-T4A5uyqesjo.pt-BR.vtt |
705б |
| 13. One Head 1-T4A5uyqesjo.th.vtt |
1.08Кб |
| 13. One Head 1-T4A5uyqesjo.zh-CN.vtt |
577б |
| 13. Other Language Associated with Confidence Intervals.html |
11.36Кб |
| 13. Other Risk Measures.html |
10.70Кб |
| 13. Participating in open source projects.html |
8.28Кб |
| 13. Participating in open source projects-OxL-gMTizUA.ar.vtt |
768б |
| 13. Participating in open source projects-OxL-gMTizUA.en.vtt |
476б |
| 13. Participating in open source projects-OxL-gMTizUA.ja-JP.vtt |
599б |
| 13. Participating in open source projects-OxL-gMTizUA.mp4 |
2.77Мб |
| 13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt |
551б |
| 13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt |
438б |
| 13. Pre-Notebook Negative Sampling.html |
9.12Кб |
| 13. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.en.vtt |
2.73Кб |
| 13. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.mp4 |
3.56Мб |
| 13. PyTorch V2 Part 3 Solution 2 V1-ExyFG2MjsKs.zh-CN.vtt |
2.15Кб |
| 13. Quiz Do You Know Your Entropy.html |
7.85Кб |
| 13. Quiz For Loops.html |
16.99Кб |
| 13. Quiz Notation.html |
12.75Кб |
| 13. Quiz Regression.html |
7.77Кб |
| 13. Quiz Types of Errors - Part III.html |
15.77Кб |
| 13. Ranking Features Walkthrough (optional).html |
10.29Кб |
| 13. risk aversion parameter.html |
7.04Кб |
| 13. Sklearn.html |
7.16Кб |
| 13. Sklearn-3zHUAXcoZ7c.ar.vtt |
8.90Кб |
| 13. Sklearn-3zHUAXcoZ7c.en.vtt |
6.64Кб |
| 13. Sklearn-3zHUAXcoZ7c.mp4 |
23.31Мб |
| 13. Sklearn-3zHUAXcoZ7c.pt-BR.vtt |
6.47Кб |
| 13. Sklearn-3zHUAXcoZ7c.zh-CN.vtt |
5.59Кб |
| 13. Solution Information Gain.html |
8.15Кб |
| 13. Solution Lambda Expressions.html |
7.90Кб |
| 13. Strings.html |
12.84Кб |
| 13. Strings-ySZDrs-nNqg.ar.vtt |
7.20Кб |
| 13. Strings-ySZDrs-nNqg.en.vtt |
5.20Кб |
| 13. Strings-ySZDrs-nNqg.mp4 |
17.26Мб |
| 13. Strings-ySZDrs-nNqg.pt-BR.vtt |
5.59Кб |
| 13. Strings-ySZDrs-nNqg.zh-CN.vtt |
4.77Кб |
| 13. Summary.html |
6.34Кб |
| 13. Summary.html |
6.37Кб |
| 13. Summary-zKYEvRd2XmI.en.vtt |
1.11Кб |
| 13. Summary-zKYEvRd2XmI.mp4 |
977.95Кб |
| 13. Summary-zKYEvRd2XmI.pt-BR.vtt |
1.25Кб |
| 13. Summary-zKYEvRd2XmI.zh-CN.vtt |
984б |
| 13. Testing.html |
10.56Кб |
| 13. Training a Network Solution.html |
8.16Кб |
| 13. Training Memory.html |
9.38Кб |
| 13. Two Coins 3.html |
9.25Кб |
| 13. Two Coins 3-GO6kbL3QRBE.ar.vtt |
1.45Кб |
| 13. Two Coins 3-GO6kbL3QRBE.en.vtt |
1.03Кб |
| 13. Two Coins 3-GO6kbL3QRBE.es-ES.vtt |
1.11Кб |
| 13. Two Coins 3-GO6kbL3QRBE.it.vtt |
1.12Кб |
| 13. Two Coins 3-GO6kbL3QRBE.ja.vtt |
841б |
| 13. Two Coins 3-GO6kbL3QRBE.mp4 |
5.36Мб |
| 13. Two Coins 3-GO6kbL3QRBE.pt-BR.vtt |
1002б |
| 13. Two Coins 3-GO6kbL3QRBE.th.vtt |
1.84Кб |
| 13. Two Coins 3-GO6kbL3QRBE.zh-CN.vtt |
1004б |
| 13. Two Coins 3-JIWv5fU3GLA.ar.vtt |
2.47Кб |
| 13. Two Coins 3-JIWv5fU3GLA.en.vtt |
2.02Кб |
| 13. Two Coins 3-JIWv5fU3GLA.es-ES.vtt |
2.10Кб |
| 13. Two Coins 3-JIWv5fU3GLA.it.vtt |
2.11Кб |
| 13. Two Coins 3-JIWv5fU3GLA.ja.vtt |
1.85Кб |
| 13. Two Coins 3-JIWv5fU3GLA.mp4 |
12.85Мб |
| 13. Two Coins 3-JIWv5fU3GLA.pt-BR.vtt |
1.83Кб |
| 13. Two Coins 3-JIWv5fU3GLA.th.vtt |
3.52Кб |
| 13. Two Coins 3-JIWv5fU3GLA.zh-CN.vtt |
1.79Кб |
| 13. Types of Errors.html |
7.58Кб |
| 13. Variance of 2 stocks part 2.html |
7.97Кб |
| 13. Vectors Quiz Answers.html |
7.72Кб |
| 13. Video Measures of Center (Mean).html |
10.53Кб |
| 13. Will the Portfolios Be Different.html |
8.10Кб |
| 13. Winners and Losers in Momentum Exercise.html |
9.47Кб |
| 13. Zipline Coding Exercises.html |
6.97Кб |
| 13. Z score.html |
11.53Кб |
| 14. [Optional] Iterators and Generators.html |
9.89Кб |
| 14. Absolute Error vs Squared Error.html |
11.33Кб |
| 14. Absolute Vs Squared Error-csvdjaqt1GM.en.vtt |
831б |
| 14. Absolute Vs Squared Error-csvdjaqt1GM.mp4 |
660.25Кб |
| 14. Absolute Vs Squared Error-csvdjaqt1GM.pt-BR.vtt |
793б |
| 14. Analyzing Multiple Metrics.html |
7.68Кб |
| 14. Analyzing Multiple Metrics-DtZghKNa7Ak.en.vtt |
572б |
| 14. Analyzing Multiple Metrics-DtZghKNa7Ak.mp4 |
2.25Мб |
| 14. Analyzing Multiple Metrics-DtZghKNa7Ak.pt-BR.vtt |
780б |
| 14. Analyzing Multiple Metrics-DtZghKNa7Ak.zh-CN.vtt |
499б |
| 14. Binomial 5.html |
8.54Кб |
| 14. Binomial 5-8jcCGD986jk.ar.vtt |
396б |
| 14. Binomial 5-8jcCGD986jk.en.vtt |
342б |
| 14. Binomial 5-8jcCGD986jk.es-ES.vtt |
355б |
| 14. Binomial 5-8jcCGD986jk.ja.vtt |
371б |
| 14. Binomial 5-8jcCGD986jk.mp4 |
2.51Мб |
| 14. Binomial 5-8jcCGD986jk.pt-BR.vtt |
473б |
| 14. Binomial 5-8jcCGD986jk.zh-CN.vtt |
311б |
| 14. Binomial 5-yof0QiP2mzk.ar.vtt |
303б |
| 14. Binomial 5-yof0QiP2mzk.en.vtt |
219б |
| 14. Binomial 5-yof0QiP2mzk.es-ES.vtt |
219б |
| 14. Binomial 5-yof0QiP2mzk.ja.vtt |
212б |
| 14. Binomial 5-yof0QiP2mzk.mp4 |
1.01Мб |
| 14. Binomial 5-yof0QiP2mzk.pt-BR.vtt |
254б |
| 14. Binomial 5-yof0QiP2mzk.zh-CN.vtt |
195б |
| 14. Central Limit Theorem.html |
10.93Кб |
| 14. Central Limit Theorem-36KLIHioAvA.ar.vtt |
982б |
| 14. Central Limit Theorem-36KLIHioAvA.en.vtt |
682б |
| 14. Central Limit Theorem-36KLIHioAvA.es-ES.vtt |
775б |
| 14. Central Limit Theorem-36KLIHioAvA.ja.vtt |
661б |
| 14. Central Limit Theorem-36KLIHioAvA.mp4 |
3.67Мб |
| 14. Central Limit Theorem-36KLIHioAvA.pl.vtt |
715б |
| 14. Central Limit Theorem-36KLIHioAvA.pt-BR.vtt |
684б |
| 14. Central Limit Theorem-36KLIHioAvA.pt-PT.vtt |
765б |
| 14. Central Limit Theorem-36KLIHioAvA.zh-CN.vtt |
607б |
| 14. Central Limit Theorem-9I8ysrRlmbA.ar.vtt |
1.34Кб |
| 14. Central Limit Theorem-9I8ysrRlmbA.en.vtt |
1.04Кб |
| 14. Central Limit Theorem-9I8ysrRlmbA.es-MX.vtt |
1.16Кб |
| 14. Central Limit Theorem-9I8ysrRlmbA.ja.vtt |
957б |
| 14. Central Limit Theorem-9I8ysrRlmbA.mp4 |
5.02Мб |
| 14. Central Limit Theorem-9I8ysrRlmbA.pt-BR.vtt |
1.05Кб |
| 14. Central Limit Theorem-9I8ysrRlmbA.zh-CN.vtt |
851б |
| 14. Character-Wise RNN-dXl3eWCGLdU.en.vtt |
3.33Кб |
| 14. Character-Wise RNN-dXl3eWCGLdU.mp4 |
2.88Мб |
| 14. Character-Wise RNN-dXl3eWCGLdU.pt-BR.vtt |
3.66Кб |
| 14. Character-Wise RNN-dXl3eWCGLdU.zh-CN.vtt |
3.04Кб |
| 14. Character-wise RNNs.html |
7.39Кб |
| 14. Classifying Fashion-MNIST.html |
8.78Кб |
| 14. Common Types of Hypothesis Tests.html |
11.60Кб |
| 14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.en.vtt |
2.57Кб |
| 14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.mp4 |
10.80Мб |
| 14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.pt-BR.vtt |
2.45Кб |
| 14. Common Types of Hypothesis Tests-8hv8KnvQ6JY.zh-CN.vtt |
2.18Кб |
| 14. Conclusion.html |
6.57Кб |
| 14. Conclusion-XiR_37bYA84.ar.vtt |
894б |
| 14. Conclusion-XiR_37bYA84.en.vtt |
675б |
| 14. Conclusion-XiR_37bYA84.mp4 |
1.96Мб |
| 14. Conclusion-XiR_37bYA84.pt-BR.vtt |
692б |
| 14. Conclusion-XiR_37bYA84.zh-CN.vtt |
616б |
| 14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.en.vtt |
1.58Кб |
| 14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.mp4 |
3.36Мб |
| 14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.pt-BR.vtt |
1.56Кб |
| 14. Correct Interpretations of Confidence Intervals-IhYv_SlN7e8.zh-CN.vtt |
1.37Кб |
| 14. Covariance Matrix of Assets Exercise.html |
7.95Кб |
| 14. Cross Section Specific Variance.html |
7.51Кб |
| 14. Disease Test 1.html |
11.57Кб |
| 14. Disease Test 1-05upwXtARuo.ar.vtt |
829б |
| 14. Disease Test 1-05upwXtARuo.en.vtt |
633б |
| 14. Disease Test 1-05upwXtARuo.es-ES.vtt |
679б |
| 14. Disease Test 1-05upwXtARuo.ja.vtt |
621б |
| 14. Disease Test 1-05upwXtARuo.mp4 |
2.81Мб |
| 14. Disease Test 1-05upwXtARuo.pt-BR.vtt |
680б |
| 14. Disease Test 1-05upwXtARuo.th.vtt |
1.16Кб |
| 14. Disease Test 1-05upwXtARuo.zh-CN.vtt |
572б |
| 14. Disease Test 1-qDGSvvabN18.ar.vtt |
963б |
| 14. Disease Test 1-qDGSvvabN18.en.vtt |
734б |
| 14. Disease Test 1-qDGSvvabN18.es-ES.vtt |
682б |
| 14. Disease Test 1-qDGSvvabN18.ja.vtt |
730б |
| 14. Disease Test 1-qDGSvvabN18.mp4 |
3.62Мб |
| 14. Disease Test 1-qDGSvvabN18.pt-BR.vtt |
753б |
| 14. Disease Test 1-qDGSvvabN18.th.vtt |
1.19Кб |
| 14. Disease Test 1-qDGSvvabN18.zh-CN.vtt |
708б |
| 14. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.en.vtt |
983б |
| 14. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.mp4 |
692.80Кб |
| 14. DLND REG 12 Absolute Vs Squared Error 2 V1 (1)-7El1OH17Oi4.pt-BR.vtt |
956б |
| 14. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.en.vtt |
1.00Кб |
| 14. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.mp4 |
873.14Кб |
| 14. DLND REG 13 Absolute Vs Squared Error 3 V1 (1)-bIVGf_dDkrY.pt-BR.vtt |
970б |
| 14. Eddy Deven V2-g7zJV-Ontbo.mp4 |
59.87Мб |
| 14. Error Functions-jfKShxGAbok.en.vtt |
9.45Кб |
| 14. Error Functions-jfKShxGAbok.en.vtt |
9.45Кб |
| 14. Error Functions-jfKShxGAbok.ja-JP.vtt |
10.57Кб |
| 14. Error Functions-jfKShxGAbok.ja-JP.vtt |
10.57Кб |
| 14. Error Functions-jfKShxGAbok.mp4 |
7.21Мб |
| 14. Error Functions-jfKShxGAbok.mp4 |
7.21Мб |
| 14. Error Functions-jfKShxGAbok.pt-BR.vtt |
9.14Кб |
| 14. Error Functions-jfKShxGAbok.pt-BR.vtt |
9.14Кб |
| 14. Error Functions-jfKShxGAbok.zh-CN.vtt |
8.34Кб |
| 14. Error Functions-jfKShxGAbok.zh-CN.vtt |
8.34Кб |
| 14. Funds.html |
7.78Кб |
| 14. Inference, Solution.html |
13.19Кб |
| 14. Interlude Global Talent.html |
6.63Кб |
| 14. Interview Satellite Data.html |
6.48Кб |
| 14. Interview with Art - Part 3.html |
7.93Кб |
| 14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt |
5.33Кб |
| 14. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt |
4.10Кб |
| 14. Interview with Art - Part 3-M6PKr3S1rPg.ja-JP.vtt |
4.71Кб |
| 14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 |
25.04Мб |
| 14. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt |
4.56Кб |
| 14. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt |
3.67Кб |
| 14. Iterators And Generators-tYH8X4Zeh-0.ar.vtt |
3.42Кб |
| 14. Iterators And Generators-tYH8X4Zeh-0.en.vtt |
2.67Кб |
| 14. Iterators And Generators-tYH8X4Zeh-0.mp4 |
18.95Мб |
| 14. Iterators And Generators-tYH8X4Zeh-0.pt-BR.vtt |
2.97Кб |
| 14. Iterators And Generators-tYH8X4Zeh-0.zh-CN.vtt |
2.42Кб |
| 14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.en.vtt |
2.40Кб |
| 14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.mp4 |
2.14Мб |
| 14. KALMAN QUIZ Parameter Update 01 RENDER V3-UUXETqShme4.zh-CN.vtt |
2.12Кб |
| 14. L1 16 Funds V2-s9f2Bzc9lnk.en.vtt |
1.74Кб |
| 14. L1 16 Funds V2-s9f2Bzc9lnk.mp4 |
5.06Мб |
| 14. L7 Outro V1-Y2E-XN3lnWM.en.vtt |
819б |
| 14. L7 Outro V1-Y2E-XN3lnWM.mp4 |
3.89Мб |
| 14. Learning Rate Decay.html |
6.84Кб |
| 14. Learning Rate-TwJ8aSZoh2U.en.vtt |
1.12Кб |
| 14. Learning Rate-TwJ8aSZoh2U.mp4 |
927.05Кб |
| 14. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt |
1.26Кб |
| 14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt |
1020б |
| 14. Log-loss Error Function.html |
10.89Кб |
| 14. Log-loss Error Function.html |
10.91Кб |
| 14. M2L3 12 Multivariate Linear Regression V3-WbCGVF7SAN0.en.vtt |
1.51Кб |
| 14. M2L3 12 Multivariate Linear Regression V3-WbCGVF7SAN0.mp4 |
1.39Мб |
| 14. M2L5 15 Outro V1-FMXL37CkTgg.en.vtt |
531б |
| 14. M2L5 15 Outro V1-FMXL37CkTgg.mp4 |
1.60Мб |
| 14. M2L6 20 Summary V2-wuzha8SU2jw.en.vtt |
1.34Кб |
| 14. M2L6 20 Summary V2-wuzha8SU2jw.mp4 |
4.25Мб |
| 14. M4 L1B 13 Momentum Or Reversal V3-izTAHVF6V_g.en.vtt |
2.53Кб |
| 14. M4 L1B 13 Momentum Or Reversal V3-izTAHVF6V_g.mp4 |
3.57Мб |
| 14. M4 L2A 25 Specific Variance V2-JwA9g3NBglE.en.vtt |
2.18Кб |
| 14. M4 L2A 25 Specific Variance V2-JwA9g3NBglE.mp4 |
2.14Мб |
| 14. M4 L3b 10 Skewness And Momentum Attentional Bias V3-3ZkFRBUmSQ0.en.vtt |
4.83Кб |
| 14. M4 L3b 10 Skewness And Momentum Attentional Bias V3-3ZkFRBUmSQ0.mp4 |
10.75Мб |
| 14. M4 L4 17 Path Dependency 1 V3-ok9rKYRtZLE.en.vtt |
4.91Кб |
| 14. M4 L4 17 Path Dependency 1 V3-ok9rKYRtZLE.mp4 |
11.60Мб |
| 14. M5 SC 9 Substitutions And Flags V1-9pxTGOlkLEY.en.vtt |
8.50Кб |
| 14. M5 SC 9 Substitutions And Flags V1-9pxTGOlkLEY.mp4 |
17.51Мб |
| 14. M8l2 17 Objective Function Gradient V1-MXQTfFrZ44Y.en.vtt |
1.34Кб |
| 14. M8l2 17 Objective Function Gradient V1-MXQTfFrZ44Y.mp4 |
1.17Мб |
| 14. Maximizing Information Gain.html |
7.42Кб |
| 14. Maximizing Information Gain-3FgJOpKfdY8.en.vtt |
4.00Кб |
| 14. Maximizing Information Gain-3FgJOpKfdY8.mp4 |
13.14Мб |
| 14. Maximizing Information Gain-3FgJOpKfdY8.pt-BR.vtt |
3.34Кб |
| 14. Maximizing Information Gain-3FgJOpKfdY8.zh-CN.vtt |
3.69Кб |
| 14. Measures of Center (Mean).html |
11.42Кб |
| 14. Mini-Project Mean Normalization and Data Separation.html |
7.42Кб |
| 14. Mini-Project Statistics From Stock Data.html |
7.29Кб |
| 14. Model Complexity Graph.html |
8.73Кб |
| 14. Model Complexity Graph-Question-YS5OQCA5cLY.en-US.vtt |
3.32Кб |
| 14. Model Complexity Graph-Question-YS5OQCA5cLY.mp4 |
5.41Мб |
| 14. Model Complexity Graph-Question-YS5OQCA5cLY.pt-BR.vtt |
3.12Кб |
| 14. Model Complexity Graph-Question-YS5OQCA5cLY.zh-CN.vtt |
3.03Кб |
| 14. Momentum or Reversal.html |
8.20Кб |
| 14. Multiclass Entropy.html |
9.92Кб |
| 14. Multivariate Linear Regression.html |
7.05Кб |
| 14. MV 13 Global Talent Is Equally Distributed V1-QwDJbbBl_48.en.vtt |
1.30Кб |
| 14. MV 13 Global Talent Is Equally Distributed V1-QwDJbbBl_48.mp4 |
3.84Мб |
| 14. Notebook Negative Sampling.html |
7.50Кб |
| 14. objective function, gradient and optimizer.html |
7.50Кб |
| 14. One Head 2.html |
10.37Кб |
| 14. One Head 2-64EjAbqrtmo.ar.vtt |
640б |
| 14. One Head 2-64EjAbqrtmo.en.vtt |
508б |
| 14. One Head 2-64EjAbqrtmo.es-ES.vtt |
480б |
| 14. One Head 2-64EjAbqrtmo.hr.vtt |
453б |
| 14. One Head 2-64EjAbqrtmo.it.vtt |
504б |
| 14. One Head 2-64EjAbqrtmo.ja.vtt |
417б |
| 14. One Head 2-64EjAbqrtmo.mp4 |
1.04Мб |
| 14. One Head 2-64EjAbqrtmo.pt-BR.vtt |
547б |
| 14. One Head 2-64EjAbqrtmo.th.vtt |
1015б |
| 14. One Head 2-64EjAbqrtmo.zh-CN.vtt |
423б |
| 14. One Head 2-JHx3ucNS9f4.ar.vtt |
445б |
| 14. One Head 2-JHx3ucNS9f4.en.vtt |
342б |
| 14. One Head 2-JHx3ucNS9f4.es-ES.vtt |
393б |
| 14. One Head 2-JHx3ucNS9f4.hr.vtt |
312б |
| 14. One Head 2-JHx3ucNS9f4.it.vtt |
375б |
| 14. One Head 2-JHx3ucNS9f4.ja.vtt |
357б |
| 14. One Head 2-JHx3ucNS9f4.mp4 |
2.26Мб |
| 14. One Head 2-JHx3ucNS9f4.pt-BR.vtt |
354б |
| 14. One Head 2-JHx3ucNS9f4.th.vtt |
677б |
| 14. One Head 2-JHx3ucNS9f4.zh-CN.vtt |
323б |
| 14. Other Sampling Distributions-Bxl0DonzX8c.ar.vtt |
1.37Кб |
| 14. Other Sampling Distributions-Bxl0DonzX8c.en.vtt |
1.04Кб |
| 14. Other Sampling Distributions-Bxl0DonzX8c.mp4 |
4.18Мб |
| 14. Other Sampling Distributions-Bxl0DonzX8c.pt-BR.vtt |
1.28Кб |
| 14. Other Sampling Distributions-Bxl0DonzX8c.zh-CN.vtt |
964б |
| 14. Outro.html |
6.85Кб |
| 14. Path Dependency.html |
7.03Кб |
| 14. PCA Toy Problem.html |
8.00Кб |
| 14. PCA Toy Problem SC V1-uyl44T12yU8.en.vtt |
9.88Кб |
| 14. PCA Toy Problem SC V1-uyl44T12yU8.mp4 |
15.15Мб |
| 14. Practice Handling Input Errors.html |
10.74Кб |
| 14. Project.html |
7.38Кб |
| 14. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt |
2.26Кб |
| 14. PyTorch - Part 4-AEJV_RKZ7VU.mp4 |
3.32Мб |
| 14. PyTorch - Part 4-AEJV_RKZ7VU.pt-BR.vtt |
2.19Кб |
| 14. PyTorch - Part 4-AEJV_RKZ7VU.zh-CN.vtt |
1.91Кб |
| 14. Quiz Applied Standard Deviation and Variance.html |
15.22Кб |
| 14. Quiz Parameter Update.html |
10.01Кб |
| 14. Quiz Strings.html |
16.33Кб |
| 14. Skewness and Momentum Attentional Bias.html |
10.94Кб |
| 14. Solution For Loops Quiz.html |
10.99Кб |
| 14. Some challenges of k-means.html |
7.32Кб |
| 14. Some challenges of k-means-e2CdlG5P4WA.ar.vtt |
882б |
| 14. Some challenges of k-means-e2CdlG5P4WA.en.vtt |
601б |
| 14. Some challenges of k-means-e2CdlG5P4WA.mp4 |
2.82Мб |
| 14. Some challenges of k-means-e2CdlG5P4WA.pt-BR.vtt |
540б |
| 14. Some challenges of k-means-e2CdlG5P4WA.zh-CN.vtt |
530б |
| 14. Substitutions and Flags.html |
8.72Кб |
| 14. Summary.html |
6.37Кб |
| 14. Summary.html |
6.39Кб |
| 14. The Capital Assets Pricing Model.html |
12.42Кб |
| 14. Two Coins 4.html |
9.28Кб |
| 14. Two Coins 4-9R44IyZ-aQI.ar.vtt |
1.69Кб |
| 14. Two Coins 4-9R44IyZ-aQI.en.vtt |
1.35Кб |
| 14. Two Coins 4-9R44IyZ-aQI.es-ES.vtt |
1.34Кб |
| 14. Two Coins 4-9R44IyZ-aQI.it.vtt |
1.38Кб |
| 14. Two Coins 4-9R44IyZ-aQI.ja.vtt |
1.10Кб |
| 14. Two Coins 4-9R44IyZ-aQI.mp4 |
8.19Мб |
| 14. Two Coins 4-9R44IyZ-aQI.pt-BR.vtt |
1.17Кб |
| 14. Two Coins 4-9R44IyZ-aQI.th.vtt |
2.20Кб |
| 14. Two Coins 4-9R44IyZ-aQI.zh-CN.vtt |
1.27Кб |
| 14. Two Coins 4-cDub-OOrIRE.ar.vtt |
1.01Кб |
| 14. Two Coins 4-cDub-OOrIRE.en.vtt |
789б |
| 14. Two Coins 4-cDub-OOrIRE.es-ES.vtt |
845б |
| 14. Two Coins 4-cDub-OOrIRE.it.vtt |
837б |
| 14. Two Coins 4-cDub-OOrIRE.ja.vtt |
805б |
| 14. Two Coins 4-cDub-OOrIRE.mp4 |
4.81Мб |
| 14. Two Coins 4-cDub-OOrIRE.pt-BR.vtt |
761б |
| 14. Two Coins 4-cDub-OOrIRE.th.vtt |
1.37Кб |
| 14. Two Coins 4-cDub-OOrIRE.zh-CN.vtt |
752б |
| 14. Video Correct Interpretations of Confidence Intervals.html |
8.91Кб |
| 14. Video Other Sampling Distributions.html |
9.47Кб |
| 14. z-score quiz.html |
12.16Кб |
| 15. [Optional] Quiz Iterators and Generators.html |
10.25Кб |
| 15. 11 SkipGram Negative V1-e7ZrzpyXNDs.en.vtt |
3.87Кб |
| 15. 11 SkipGram Negative V1-e7ZrzpyXNDs.mp4 |
4.67Мб |
| 15. 11 SkipGram Negative V1-e7ZrzpyXNDs.pt-BR.vtt |
3.75Кб |
| 15. 11 SkipGram Negative V1-e7ZrzpyXNDs.zh-CN.vtt |
3.20Кб |
| 15. Active vs. Passive.html |
8.94Кб |
| 15. Answer Parameter Update.html |
8.47Кб |
| 15. Applying Regexes to 10-Ks.html |
8.37Кб |
| 15. Binomial 6.html |
8.55Кб |
| 15. Binomial 6-CQHRYIU6v9Q.ar.vtt |
473б |
| 15. Binomial 6-CQHRYIU6v9Q.en.vtt |
340б |
| 15. Binomial 6-CQHRYIU6v9Q.es-ES.vtt |
327б |
| 15. Binomial 6-CQHRYIU6v9Q.ja.vtt |
298б |
| 15. Binomial 6-CQHRYIU6v9Q.mp4 |
1.73Мб |
| 15. Binomial 6-CQHRYIU6v9Q.pt-BR.vtt |
401б |
| 15. Binomial 6-CQHRYIU6v9Q.zh-CN.vtt |
281б |
| 15. Binomial 6-n_OrWrZ8tKY.ar.vtt |
706б |
| 15. Binomial 6-n_OrWrZ8tKY.en.vtt |
540б |
| 15. Binomial 6-n_OrWrZ8tKY.es-ES.vtt |
538б |
| 15. Binomial 6-n_OrWrZ8tKY.ja.vtt |
531б |
| 15. Binomial 6-n_OrWrZ8tKY.mp4 |
4.45Мб |
| 15. Binomial 6-n_OrWrZ8tKY.pt-BR.vtt |
691б |
| 15. Binomial 6-n_OrWrZ8tKY.zh-CN.vtt |
439б |
| 15. Correct Interpretations of Confidence Intervals.html |
10.06Кб |
| 15. Cross Validation.html |
7.65Кб |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt |
5.70Кб |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.en.vtt |
5.70Кб |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.ja-JP.vtt |
5.39Кб |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.ja-JP.vtt |
5.39Кб |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4 |
5.35Мб |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4 |
5.35Мб |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt |
5.67Кб |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.pt-BR.vtt |
5.67Кб |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt |
4.70Кб |
| 15. Discrete vs. Continuous-Rm2KxFaPiJg.zh-CN.vtt |
4.70Кб |
| 15. Discrete vs Continuous.html |
11.61Кб |
| 15. Discrete vs Continuous.html |
11.64Кб |
| 15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt |
551б |
| 15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt |
551б |
| 15. Discrete vs Continuous-rdP-RPDFkl0.ja-JP.vtt |
561б |
| 15. Discrete vs Continuous-rdP-RPDFkl0.ja-JP.vtt |
561б |
| 15. Discrete vs Continuous-rdP-RPDFkl0.mp4 |
2.26Мб |
| 15. Discrete vs Continuous-rdP-RPDFkl0.mp4 |
2.26Мб |
| 15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt |
584б |
| 15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt |
584б |
| 15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt |
481б |
| 15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt |
481б |
| 15. Disease Test 2.html |
10.97Кб |
| 15. Disease Test 2-FQM7i07EqGo.ar.vtt |
325б |
| 15. Disease Test 2-FQM7i07EqGo.en.vtt |
268б |
| 15. Disease Test 2-FQM7i07EqGo.es-ES.vtt |
272б |
| 15. Disease Test 2-FQM7i07EqGo.ja.vtt |
296б |
| 15. Disease Test 2-FQM7i07EqGo.mp4 |
1.49Мб |
| 15. Disease Test 2-FQM7i07EqGo.pt-BR.vtt |
262б |
| 15. Disease Test 2-FQM7i07EqGo.th.vtt |
398б |
| 15. Disease Test 2-FQM7i07EqGo.zh-CN.vtt |
241б |
| 15. Disease Test 2-GsneDVJB75E.ar.vtt |
158б |
| 15. Disease Test 2-GsneDVJB75E.en.vtt |
142б |
| 15. Disease Test 2-GsneDVJB75E.es-ES.vtt |
155б |
| 15. Disease Test 2-GsneDVJB75E.ja.vtt |
184б |
| 15. Disease Test 2-GsneDVJB75E.mp4 |
747.61Кб |
| 15. Disease Test 2-GsneDVJB75E.pt-BR.vtt |
149б |
| 15. Disease Test 2-GsneDVJB75E.th.vtt |
178б |
| 15. Disease Test 2-GsneDVJB75E.zh-CN.vtt |
149б |
| 15. Fashion-MNIST Solution.html |
8.14Кб |
| 15. Fundamental Factors.html |
7.20Кб |
| 15. Homework 1 Final Quiz on Measures Spread.html |
14.53Кб |
| 15. Interlude Your Goals.html |
6.55Кб |
| 15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.en.vtt |
680б |
| 15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.mp4 |
574.57Кб |
| 15. KALMAN QUIZ Parameter Update 02 RENDER V2-vl6GkkEgY4M.zh-CN.vtt |
517б |
| 15. L1 17 Active Vs Passive V2-QzoHmUzJ5zw.en.vtt |
1.33Кб |
| 15. L1 17 Active Vs Passive V2-QzoHmUzJ5zw.mp4 |
3.86Мб |
| 15. L1 18 Alpha And Beta V3-CcVdfrr5nD8.en.vtt |
1.76Кб |
| 15. L1 18 Alpha And Beta V3-CcVdfrr5nD8.mp4 |
4.93Мб |
| 15. Limitations of K-Means.html |
8.73Кб |
| 15. Limitations of K-Means-4Fkfu37el_k.ar.vtt |
1.31Кб |
| 15. Limitations of K-Means-4Fkfu37el_k.en.vtt |
855б |
| 15. Limitations of K-Means-4Fkfu37el_k.mp4 |
4.67Мб |
| 15. Limitations of K-Means-4Fkfu37el_k.pt-BR.vtt |
856б |
| 15. Limitations of K-Means-4Fkfu37el_k.zh-CN.vtt |
812б |
| 15. Limitations of K-Means-nvLhUSSUhiY.ar.vtt |
385б |
| 15. Limitations of K-Means-nvLhUSSUhiY.en.vtt |
315б |
| 15. Limitations of K-Means-nvLhUSSUhiY.mp4 |
991.73Кб |
| 15. Limitations of K-Means-nvLhUSSUhiY.pt-BR.vtt |
306б |
| 15. Limitations of K-Means-nvLhUSSUhiY.zh-CN.vtt |
277б |
| 15. Linear Regression in scikit-learn.html |
17.35Кб |
| 15. M2L3 14 Regression In Trading V2-bcOGRWxg7qQ.en.vtt |
1.78Кб |
| 15. M2L3 14 Regression In Trading V2-bcOGRWxg7qQ.mp4 |
5.86Мб |
| 15. M4 L1B 14 PriceVolume Factors V2-zaG0PDc3wsA.en.vtt |
6.04Кб |
| 15. M4 L1B 14 PriceVolume Factors V2-zaG0PDc3wsA.mp4 |
11.54Мб |
| 15. M4 L2A 10 Portfolio Variance Using Factor Model V4-V06aCZUvgbo.mp4 |
6.01Мб |
| 15. M4 L2A 26 Fundamental Factors V2-fndhL2Tolac.en.vtt |
3.87Кб |
| 15. M4 L2A 26 Fundamental Factors V2-fndhL2Tolac.mp4 |
3.45Мб |
| 15. M4 L3b 11 Skewness And Momentum Defining Skew V2-6PgqIpmJBJ8.en.vtt |
3.38Кб |
| 15. M4 L3b 11 Skewness And Momentum Defining Skew V2-6PgqIpmJBJ8.mp4 |
6.40Мб |
| 15. M4 L4 19 What Is Optimization Doing To OUr Alphas V3-6Yqb91Xahvg.en.vtt |
3.70Кб |
| 15. M4 L4 19 What Is Optimization Doing To OUr Alphas V3-6Yqb91Xahvg.mp4 |
8.22Мб |
| 15. M82 Outro V1-GbWg0wSTDfk.en.vtt |
1.15Кб |
| 15. M82 Outro V1-GbWg0wSTDfk.mp4 |
4.96Мб |
| 15. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.en.vtt |
771б |
| 15. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.mp4 |
2.16Мб |
| 15. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.pt-BR.vtt |
723б |
| 15. MLND SL DT 10 Q Information Gain MAIN V1-tVLOLPEtLFw.zh-CN.vtt |
727б |
| 15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.en.vtt |
2.65Кб |
| 15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.mp4 |
9.20Мб |
| 15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.pt-BR.vtt |
2.50Кб |
| 15. MLND SL DT 13 Random Forests MAIN V1-n5DhXhcYKcw.zh-CN.vtt |
2.50Кб |
| 15. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.en-US.vtt |
6.11Кб |
| 15. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.mp4 |
9.23Мб |
| 15. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.pt-BR.vtt |
5.74Кб |
| 15. Model-Complexity-Graph Solution 2-5pWHGkNyRhA.zh-CN.vtt |
5.23Кб |
| 15. Momentum.html |
6.81Кб |
| 15. Momentum-r-rYz_PEWC8.en.vtt |
2.50Кб |
| 15. Momentum-r-rYz_PEWC8.mp4 |
2.14Мб |
| 15. Momentum-r-rYz_PEWC8.pt-BR.vtt |
2.70Кб |
| 15. Momentum-r-rYz_PEWC8.zh-CN.vtt |
2.21Кб |
| 15. MV 06 Our Goal Is To Help You Meet Your Goals V1--pSppDzJRu8.en.vtt |
1.45Кб |
| 15. MV 06 Our Goal Is To Help You Meet Your Goals V1--pSppDzJRu8.mp4 |
4.08Мб |
| 15. One Of Three 1.html |
9.58Кб |
| 15. One Of Three 1-bDCXSxkochE.ar.vtt |
1.50Кб |
| 15. One Of Three 1-bDCXSxkochE.en.vtt |
1.15Кб |
| 15. One Of Three 1-bDCXSxkochE.es-ES.vtt |
1.17Кб |
| 15. One Of Three 1-bDCXSxkochE.hr.vtt |
1.12Кб |
| 15. One Of Three 1-bDCXSxkochE.it.vtt |
1.17Кб |
| 15. One Of Three 1-bDCXSxkochE.ja.vtt |
1.13Кб |
| 15. One Of Three 1-bDCXSxkochE.mp4 |
9.02Мб |
| 15. One Of Three 1-bDCXSxkochE.pt-BR.vtt |
1.35Кб |
| 15. One Of Three 1-bDCXSxkochE.th.vtt |
2.73Кб |
| 15. One Of Three 1-bDCXSxkochE.zh-CN.vtt |
964б |
| 15. One Of Three 1-rxfHfjy9Mm4.ar.vtt |
411б |
| 15. One Of Three 1-rxfHfjy9Mm4.en.vtt |
307б |
| 15. One Of Three 1-rxfHfjy9Mm4.es-ES.vtt |
318б |
| 15. One Of Three 1-rxfHfjy9Mm4.hr.vtt |
305б |
| 15. One Of Three 1-rxfHfjy9Mm4.it.vtt |
315б |
| 15. One Of Three 1-rxfHfjy9Mm4.ja.vtt |
301б |
| 15. One Of Three 1-rxfHfjy9Mm4.mp4 |
2.08Мб |
| 15. One Of Three 1-rxfHfjy9Mm4.pt-BR.vtt |
335б |
| 15. One Of Three 1-rxfHfjy9Mm4.th.vtt |
772б |
| 15. One Of Three 1-rxfHfjy9Mm4.zh-CN.vtt |
280б |
| 15. outro.html |
7.08Кб |
| 15. Participating in open source projects 2.html |
8.04Кб |
| 15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt |
2.16Кб |
| 15. Participating in open source projects 2-elZCLxVvJrY.en.vtt |
1.46Кб |
| 15. Participating in open source projects 2-elZCLxVvJrY.ja-JP.vtt |
1.81Кб |
| 15. Participating in open source projects 2-elZCLxVvJrY.mp4 |
3.30Мб |
| 15. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt |
1.69Кб |
| 15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt |
1.30Кб |
| 15. PCA Coding Exercise.html |
7.69Кб |
| 15. Portfolio Variance using Factor Model.html |
9.70Кб |
| 15. Price-Volume Factors.html |
8.43Кб |
| 15. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.en.vtt |
6.14Кб |
| 15. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.mp4 |
8.24Мб |
| 15. PyTorch V2 Part 4 Solution V1-R6Y4hPLVQWM.zh-CN.vtt |
5.03Кб |
| 15. Quiz Analyzing Multiple Metrics.html |
10.07Кб |
| 15. Quiz Information Gain.html |
10.16Кб |
| 15. Quiz Match Inputs To Outputs.html |
13.71Кб |
| 15. Quiz More Hypothesis Testing Practice.html |
16.33Кб |
| 15. Quiz Portfolio Return with a 3-Asset Portfolio.html |
8.45Кб |
| 15. Random Forests.html |
7.43Кб |
| 15. Regression in Trading.html |
7.02Кб |
| 15. Sequence Batching.html |
7.39Кб |
| 15. Sequence-Batching-Z4OiyU0Cldg.en.vtt |
2.09Кб |
| 15. Sequence-Batching-Z4OiyU0Cldg.mp4 |
2.29Мб |
| 15. Sequence-Batching-Z4OiyU0Cldg.pt-BR.vtt |
2.33Кб |
| 15. Sequence-Batching-Z4OiyU0Cldg.zh-CN.vtt |
1.92Кб |
| 15. Skewness and Momentum Defining Skew.html |
8.93Кб |
| 15. SkipGramNeg, Model Definition.html |
7.12Кб |
| 15. Solution Handling Input Errors.html |
8.72Кб |
| 15. Solution Strings.html |
10.35Кб |
| 15. Spam Classifier - Workspace.html |
7.29Кб |
| 15. Summary.html |
7.26Кб |
| 15. Summary.html |
6.73Кб |
| 15. Summary-VP-PMcgqhc8.ar.vtt |
2.04Кб |
| 15. Summary-VP-PMcgqhc8.en.vtt |
1.42Кб |
| 15. Summary-VP-PMcgqhc8.es-ES.vtt |
1.41Кб |
| 15. Summary-VP-PMcgqhc8.ja.vtt |
1.27Кб |
| 15. Summary-VP-PMcgqhc8.mp4 |
6.71Мб |
| 15. Summary-VP-PMcgqhc8.pt-BR.vtt |
1.57Кб |
| 15. Summary-VP-PMcgqhc8.zh-CN.vtt |
1.02Кб |
| 15. Summary-yepMH9VswI8.ar.vtt |
3.47Кб |
| 15. Summary-yepMH9VswI8.en.vtt |
2.66Кб |
| 15. Summary-yepMH9VswI8.es-ES.vtt |
2.84Кб |
| 15. Summary-yepMH9VswI8.it.vtt |
2.87Кб |
| 15. Summary-yepMH9VswI8.ja.vtt |
2.36Кб |
| 15. Summary-yepMH9VswI8.mp4 |
15.78Мб |
| 15. Summary-yepMH9VswI8.pt-BR.vtt |
2.44Кб |
| 15. Summary-yepMH9VswI8.th.vtt |
4.60Кб |
| 15. Summary-yepMH9VswI8.zh-CN.vtt |
2.43Кб |
| 15. The Median-WlT3eeW0rb0.ar.vtt |
3.19Кб |
| 15. The Median-WlT3eeW0rb0.en.vtt |
2.48Кб |
| 15. The Median-WlT3eeW0rb0.mp4 |
3.81Мб |
| 15. The Median-WlT3eeW0rb0.pt-BR.vtt |
2.63Кб |
| 15. The Median-WlT3eeW0rb0.zh-CN.vtt |
1.98Кб |
| 15. Two Useful Theorems-jQ5i7CALdRQ.ar.vtt |
1.75Кб |
| 15. Two Useful Theorems-jQ5i7CALdRQ.en.vtt |
1.40Кб |
| 15. Two Useful Theorems-jQ5i7CALdRQ.mp4 |
4.16Мб |
| 15. Two Useful Theorems-jQ5i7CALdRQ.pt-BR.vtt |
1.45Кб |
| 15. Two Useful Theorems-jQ5i7CALdRQ.zh-CN.vtt |
1.18Кб |
| 15. Video Measures of Center (Median).html |
10.34Кб |
| 15. Video Two Useful Theorems - Law of Large Numbers.html |
10.88Кб |
| 15. What Is Optimization Doing to Our Alphas.html |
7.14Кб |
| 15. z-score exercise.html |
12.19Кб |
| 16. [Optional] Solution Iterators and Generators.html |
8.48Кб |
| 16. 12 CompleteModel CustomLoss V2-7SqNN_eUAdc.en.vtt |
10.34Кб |
| 16. 12 CompleteModel CustomLoss V2-7SqNN_eUAdc.mp4 |
14.35Мб |
| 16. 12 CompleteModel CustomLoss V2-7SqNN_eUAdc.pt-BR.vtt |
10.41Кб |
| 16. 12 CompleteModel CustomLoss V2-7SqNN_eUAdc.zh-CN.vtt |
8.63Кб |
| 16. Accessing Error Messages.html |
9.23Кб |
| 16. AIT M5L4B 06 Introduction To Beautifulsoup V3-k8e-kB3qBng.en.vtt |
3.04Кб |
| 16. AIT M5L4B 06 Introduction To Beautifulsoup V3-k8e-kB3qBng.mp4 |
12.67Мб |
| 16. Binomial Conclusion.html |
7.01Кб |
| 16. Binomial Distribution Conclusion-9gjCYs8f_PU.ar.vtt |
3.89Кб |
| 16. Binomial Distribution Conclusion-9gjCYs8f_PU.en.vtt |
2.92Кб |
| 16. Binomial Distribution Conclusion-9gjCYs8f_PU.mp4 |
10.23Мб |
| 16. Binomial Distribution Conclusion-9gjCYs8f_PU.pt-BR.vtt |
3.26Кб |
| 16. Binomial Distribution Conclusion-9gjCYs8f_PU.zh-CN.vtt |
2.43Кб |
| 16. Building Dictionaries.html |
14.30Кб |
| 16. Complete Model Custom Loss.html |
7.27Кб |
| 16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.en.vtt |
906б |
| 16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.mp4 |
3.70Мб |
| 16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.pt-BR.vtt |
962б |
| 16. Confidence Intervals And Hypothesis Tests-T2d9AUnWl-I.zh-CN.vtt |
742б |
| 16. Counterintuitive Clusters.html |
8.78Кб |
| 16. Counterintuitive Clusters-aveIz1JYeAg.ar.vtt |
1.35Кб |
| 16. Counterintuitive Clusters-aveIz1JYeAg.en.vtt |
991б |
| 16. Counterintuitive Clusters-aveIz1JYeAg.mp4 |
4.11Мб |
| 16. Counterintuitive Clusters-aveIz1JYeAg.pt-BR.vtt |
1.02Кб |
| 16. Counterintuitive Clusters-aveIz1JYeAg.zh-CN.vtt |
924б |
| 16. Counterintuitive Clusters-StmEUgT1XSY.ar.vtt |
2.93Кб |
| 16. Counterintuitive Clusters-StmEUgT1XSY.en.vtt |
2.17Кб |
| 16. Counterintuitive Clusters-StmEUgT1XSY.mp4 |
8.13Мб |
| 16. Counterintuitive Clusters-StmEUgT1XSY.pt-BR.vtt |
2.19Кб |
| 16. Counterintuitive Clusters-StmEUgT1XSY.zh-CN.vtt |
1.90Кб |
| 16. Disease Test 3.html |
10.96Кб |
| 16. Disease Test 3-a61GPGk-Qy4.ar.vtt |
222б |
| 16. Disease Test 3-a61GPGk-Qy4.en.vtt |
214б |
| 16. Disease Test 3-a61GPGk-Qy4.es-ES.vtt |
217б |
| 16. Disease Test 3-a61GPGk-Qy4.ja.vtt |
300б |
| 16. Disease Test 3-a61GPGk-Qy4.mp4 |
1.61Мб |
| 16. Disease Test 3-a61GPGk-Qy4.pt-BR.vtt |
212б |
| 16. Disease Test 3-a61GPGk-Qy4.th.vtt |
299б |
| 16. Disease Test 3-a61GPGk-Qy4.zh-CN.vtt |
218б |
| 16. Disease Test 3-PfEYA6z-19w.ar.vtt |
129б |
| 16. Disease Test 3-PfEYA6z-19w.en.vtt |
104б |
| 16. Disease Test 3-PfEYA6z-19w.es-ES.vtt |
107б |
| 16. Disease Test 3-PfEYA6z-19w.ja.vtt |
122б |
| 16. Disease Test 3-PfEYA6z-19w.mp4 |
423.73Кб |
| 16. Disease Test 3-PfEYA6z-19w.pt-BR.vtt |
99б |
| 16. Disease Test 3-PfEYA6z-19w.th.vtt |
130б |
| 16. Disease Test 3-PfEYA6z-19w.zh-CN.vtt |
113б |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt |
5.37Кб |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.en.vtt |
5.37Кб |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.ja-JP.vtt |
5.66Кб |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.ja-JP.vtt |
5.66Кб |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4 |
4.01Мб |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4 |
4.01Мб |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt |
5.06Кб |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.pt-BR.vtt |
5.06Кб |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt |
4.37Кб |
| 16. DL 18 Q Softmax V2-RC_A9Tu99y4.zh-CN.vtt |
4.37Кб |
| 16. DL 18 S Softmax-n8S-v_LCTms.en.vtt |
2.59Кб |
| 16. DL 18 S Softmax-n8S-v_LCTms.en.vtt |
2.59Кб |
| 16. DL 18 S Softmax-n8S-v_LCTms.ja-JP.vtt |
2.56Кб |
| 16. DL 18 S Softmax-n8S-v_LCTms.ja-JP.vtt |
2.56Кб |
| 16. DL 18 S Softmax-n8S-v_LCTms.mp4 |
1.95Мб |
| 16. DL 18 S Softmax-n8S-v_LCTms.mp4 |
1.95Мб |
| 16. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt |
2.52Кб |
| 16. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt |
2.52Кб |
| 16. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt |
2.31Кб |
| 16. DL 18 S Softmax-n8S-v_LCTms.zh-CN.vtt |
2.31Кб |
| 16. Drawing Conclusions.html |
8.26Кб |
| 16. Drawing Conclusions-s-4ghG9vrGQ.en.vtt |
1.27Кб |
| 16. Drawing Conclusions-s-4ghG9vrGQ.mp4 |
4.51Мб |
| 16. Drawing Conclusions-s-4ghG9vrGQ.pt-BR.vtt |
1.53Кб |
| 16. Drawing Conclusions-s-4ghG9vrGQ.zh-CN.vtt |
1.06Кб |
| 16. Error Functions Around the World.html |
6.86Кб |
| 16. Error Functions Around the World-34AAcTECu2A.en.vtt |
1.17Кб |
| 16. Error Functions Around the World-34AAcTECu2A.mp4 |
1.73Мб |
| 16. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt |
1.08Кб |
| 16. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt |
1.13Кб |
| 16. Exercise regression with two stocks.html |
7.63Кб |
| 16. Higher Dimensions.html |
7.57Кб |
| 16. Higher Dimensions--UvpQV1qmiE.en.vtt |
2.94Кб |
| 16. Higher Dimensions--UvpQV1qmiE.mp4 |
2.65Мб |
| 16. Higher Dimensions--UvpQV1qmiE.pt-BR.vtt |
2.78Кб |
| 16. How Do We Choose Between Hypotheses.html |
11.62Кб |
| 16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.en.vtt |
1.07Кб |
| 16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.mp4 |
3.92Мб |
| 16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.pt-BR.vtt |
1.03Кб |
| 16. How Do We Choose Between Hypotheses-JkXTwS-5Daw.zh-CN.vtt |
887б |
| 16. Hyperparameters.html |
13.73Кб |
| 16. Inference and Validation.html |
8.70Кб |
| 16. Information Gain-k9iZL53PAmw.en.vtt |
3.35Кб |
| 16. Information Gain-k9iZL53PAmw.mp4 |
9.24Мб |
| 16. Information Gain-k9iZL53PAmw.pt-BR.vtt |
2.81Кб |
| 16. Information Gain-k9iZL53PAmw.zh-CN.vtt |
2.90Кб |
| 16. Introduction to BeautifulSoup.html |
7.80Кб |
| 16. K-Fold Cross Validation.html |
7.52Кб |
| 16. KFold Cross Validation V3 V1-9W6o6eWGi-0.en.vtt |
1.96Кб |
| 16. KFold Cross Validation V3 V1-9W6o6eWGi-0.mp4 |
1.75Мб |
| 16. KFold Cross Validation V3 V1-9W6o6eWGi-0.pt-BR.vtt |
2.07Кб |
| 16. L3 13 Summary V1-I7XKJf8t_0s.en.vtt |
760б |
| 16. L3 13 Summary V1-I7XKJf8t_0s.mp4 |
2.46Мб |
| 16. M4 L1B 15 Volume Factors V1-1dTAV3Irxv4.en.vtt |
4.55Кб |
| 16. M4 L1B 15 Volume Factors V1-1dTAV3Irxv4.mp4 |
12.63Мб |
| 16. M4 L2A 27 Summary V1-rdqINNkTlqs.en.vtt |
1.91Кб |
| 16. M4 L2A 27 Summary V1-rdqINNkTlqs.mp4 |
4.52Мб |
| 16. M4 L2b 15 PCA As A Factor Model Pt 1 V3-4E3C5E-MmkI.en.vtt |
3.45Кб |
| 16. M4 L2b 15 PCA As A Factor Model Pt 1 V3-4E3C5E-MmkI.mp4 |
4.17Мб |
| 16. M4 L3a 09 Smoothing V2-mAfrjpZOf7Q.en.vtt |
2.98Кб |
| 16. M4 L3a 09 Smoothing V2-mAfrjpZOf7Q.mp4 |
3.11Мб |
| 16. M4 L3b 12 Skewness And Momentum Momentum Enhances Or Weakened By Skew V2-S73J_h8DHsE.en.vtt |
3.48Кб |
| 16. M4 L3b 12 Skewness And Momentum Momentum Enhances Or Weakened By Skew V2-S73J_h8DHsE.mp4 |
8.57Мб |
| 16. M4 L4 20 Outro V1-c3J8t6q2BGo.en.vtt |
1.62Кб |
| 16. M4 L4 20 Outro V1-c3J8t6q2BGo.mp4 |
5.45Мб |
| 16. Measures of Center (Median).html |
10.68Кб |
| 16. ML for Trading interview.html |
7.27Кб |
| 16. NewsRoom Juan V2-DpO73QaXaOY.en.vtt |
6.05Кб |
| 16. NewsRoom Juan V2-DpO73QaXaOY.mp4 |
25.94Мб |
| 16. Notebook + Quiz Law of Large Numbers.html |
10.83Кб |
| 16. Notebook Character-Level RNN.html |
9.29Кб |
| 16. Notebook New Mean and Variance.html |
8.75Кб |
| 16. One Of Three 2.html |
9.46Кб |
| 16. One Of Three 2-27Ed1GI4j84.ar.vtt |
1.26Кб |
| 16. One Of Three 2-27Ed1GI4j84.en.vtt |
964б |
| 16. One Of Three 2-27Ed1GI4j84.es-ES.vtt |
967б |
| 16. One Of Three 2-27Ed1GI4j84.hr.vtt |
925б |
| 16. One Of Three 2-27Ed1GI4j84.it.vtt |
969б |
| 16. One Of Three 2-27Ed1GI4j84.ja.vtt |
949б |
| 16. One Of Three 2-27Ed1GI4j84.mp4 |
11.22Мб |
| 16. One Of Three 2-27Ed1GI4j84.pt-BR.vtt |
1.29Кб |
| 16. One Of Three 2-27Ed1GI4j84.zh-CN.vtt |
908б |
| 16. One Of Three 2-gGgqTGZ9TKg.ar.vtt |
1.22Кб |
| 16. One Of Three 2-gGgqTGZ9TKg.en.vtt |
997б |
| 16. One Of Three 2-gGgqTGZ9TKg.es-ES.vtt |
971б |
| 16. One Of Three 2-gGgqTGZ9TKg.hr.vtt |
956б |
| 16. One Of Three 2-gGgqTGZ9TKg.it.vtt |
994б |
| 16. One Of Three 2-gGgqTGZ9TKg.ja.vtt |
952б |
| 16. One Of Three 2-gGgqTGZ9TKg.mp4 |
5.49Мб |
| 16. One Of Three 2-gGgqTGZ9TKg.pt-BR.vtt |
1.01Кб |
| 16. One Of Three 2-gGgqTGZ9TKg.th.vtt |
2.00Кб |
| 16. One Of Three 2-gGgqTGZ9TKg.zh-CN.vtt |
912б |
| 16. Outro.html |
6.93Кб |
| 16. Outro.html |
6.72Кб |
| 16. PCA as a Factor Model.html |
7.12Кб |
| 16. Portfolio Variance Exercise.html |
7.90Кб |
| 16. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.en.vtt |
8.91Кб |
| 16. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.mp4 |
12.81Мб |
| 16. PyTorch V2 Part 5 V1 (1)-XACXlkIdS7Y.zh-CN.vtt |
7.18Кб |
| 16. Quiz Rate of Returns Over Multiple Periods.html |
8.54Кб |
| 16. Quiz - Softmax-NNoezNnAMTY.en.vtt |
495б |
| 16. Quiz - Softmax-NNoezNnAMTY.en.vtt |
495б |
| 16. Quiz - Softmax-NNoezNnAMTY.ja-JP.vtt |
551б |
| 16. Quiz - Softmax-NNoezNnAMTY.ja-JP.vtt |
551б |
| 16. Quiz - Softmax-NNoezNnAMTY.mp4 |
1.73Мб |
| 16. Quiz - Softmax-NNoezNnAMTY.mp4 |
1.73Мб |
| 16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt |
501б |
| 16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt |
501б |
| 16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt |
548б |
| 16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt |
548б |
| 16. Skewness and Momentum Momentum Enhanced or weakened by Skew.html |
9.05Кб |
| 16. Smoothing.html |
11.54Кб |
| 16. Softmax.html |
13.76Кб |
| 16. Softmax.html |
13.81Кб |
| 16. Solution Information Gain.html |
8.80Кб |
| 16. Starring interesting repositories.html |
9.45Кб |
| 16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt |
542б |
| 16. Starring interesting repositories-U3FUxkm1MxI.en.vtt |
419б |
| 16. Starring interesting repositories-U3FUxkm1MxI.ja-JP.vtt |
492б |
| 16. Starring interesting repositories-U3FUxkm1MxI.mp4 |
2.45Мб |
| 16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt |
460б |
| 16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt |
392б |
| 16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt |
812б |
| 16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt |
634б |
| 16. Starring interesting repositories-ZwMY5rAAd7Q.ja-JP.vtt |
777б |
| 16. Starring interesting repositories-ZwMY5rAAd7Q.mp4 |
3.46Мб |
| 16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt |
705б |
| 16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt |
556б |
| 16. Summary.html |
6.60Кб |
| 16. Summary.html |
6.62Кб |
| 16. Text Measures of Center and Spread Summary.html |
12.51Кб |
| 16. Text Summary.html |
7.64Кб |
| 16. Type and Type Conversion.html |
11.05Кб |
| 16. Type Type Conversion-yN6Fam_vZrU.ar.vtt |
4.36Кб |
| 16. Type Type Conversion-yN6Fam_vZrU.en.vtt |
3.19Кб |
| 16. Type Type Conversion-yN6Fam_vZrU.mp4 |
9.40Мб |
| 16. Type Type Conversion-yN6Fam_vZrU.pt-BR.vtt |
3.67Кб |
| 16. Type Type Conversion-yN6Fam_vZrU.zh-CN.vtt |
2.95Кб |
| 16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.en.vtt |
2.64Кб |
| 16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.mp4 |
2.48Мб |
| 16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.pt-BR.vtt |
2.72Кб |
| 16. Using A Confidence Interval to Make A Decision-MghT95b6LbQ.zh-CN.vtt |
2.30Кб |
| 16. Video Confidence Intervals Hypothesis Tests.html |
8.04Кб |
| 16. Volume Factors.html |
8.16Кб |
| 17. [Optional] Generator Expressions.html |
7.48Кб |
| 17. 04 Implementing CharRNN V2-MMtgZXzFB10.en.vtt |
11.56Кб |
| 17. 04 Implementing CharRNN V2-MMtgZXzFB10.mp4 |
15.77Мб |
| 17. 04 Implementing CharRNN V2-MMtgZXzFB10.pt-BR.vtt |
10.73Кб |
| 17. 04 Implementing CharRNN V2-MMtgZXzFB10.zh-CN.vtt |
9.43Кб |
| 17. Counterintuitive Clusters 2.html |
8.67Кб |
| 17. Counterintuitive Clusters 2-HyjBus7S2gY.ar.vtt |
1.86Кб |
| 17. Counterintuitive Clusters 2-HyjBus7S2gY.en.vtt |
1.48Кб |
| 17. Counterintuitive Clusters 2-HyjBus7S2gY.mp4 |
7.25Мб |
| 17. Counterintuitive Clusters 2-HyjBus7S2gY.pt-BR.vtt |
1.54Кб |
| 17. Counterintuitive Clusters 2-HyjBus7S2gY.zh-CN.vtt |
1.37Кб |
| 17. Counterintuitive Clusters 2-xSQTzAeeoEc.ar.vtt |
841б |
| 17. Counterintuitive Clusters 2-xSQTzAeeoEc.en.vtt |
665б |
| 17. Counterintuitive Clusters 2-xSQTzAeeoEc.mp4 |
1.99Мб |
| 17. Counterintuitive Clusters 2-xSQTzAeeoEc.pt-BR.vtt |
672б |
| 17. Counterintuitive Clusters 2-xSQTzAeeoEc.zh-CN.vtt |
633б |
| 17. Cross Validation for Time Series.html |
8.89Кб |
| 17. Decision Trees in sklearn.html |
16.50Кб |
| 17. Disease Test 4.html |
10.96Кб |
| 17. Disease Test 4-UERKMwmkAsM.ar.vtt |
161б |
| 17. Disease Test 4-UERKMwmkAsM.en.vtt |
120б |
| 17. Disease Test 4-UERKMwmkAsM.es-ES.vtt |
129б |
| 17. Disease Test 4-UERKMwmkAsM.ja.vtt |
126б |
| 17. Disease Test 4-UERKMwmkAsM.mp4 |
753.05Кб |
| 17. Disease Test 4-UERKMwmkAsM.pt-BR.vtt |
123б |
| 17. Disease Test 4-UERKMwmkAsM.th.vtt |
205б |
| 17. Disease Test 4-UERKMwmkAsM.zh-CN.vtt |
116б |
| 17. Disease Test 4-ztkKTrMZHXg.ar.vtt |
96б |
| 17. Disease Test 4-ztkKTrMZHXg.en.vtt |
95б |
| 17. Disease Test 4-ztkKTrMZHXg.es-ES.vtt |
101б |
| 17. Disease Test 4-ztkKTrMZHXg.ja.vtt |
110б |
| 17. Disease Test 4-ztkKTrMZHXg.mp4 |
284.83Кб |
| 17. Disease Test 4-ztkKTrMZHXg.pt-BR.vtt |
94б |
| 17. Disease Test 4-ztkKTrMZHXg.th.vtt |
152б |
| 17. Disease Test 4-ztkKTrMZHXg.zh-CN.vtt |
98б |
| 17. Even Roll.html |
9.51Кб |
| 17. Even Roll-DrnAR4SqlEE.ar.vtt |
1.05Кб |
| 17. Even Roll-DrnAR4SqlEE.en.vtt |
826б |
| 17. Even Roll-DrnAR4SqlEE.es-ES.vtt |
850б |
| 17. Even Roll-DrnAR4SqlEE.hr.vtt |
792б |
| 17. Even Roll-DrnAR4SqlEE.it.vtt |
866б |
| 17. Even Roll-DrnAR4SqlEE.ja.vtt |
872б |
| 17. Even Roll-DrnAR4SqlEE.mp4 |
5.70Мб |
| 17. Even Roll-DrnAR4SqlEE.pt-BR.vtt |
914б |
| 17. Even Roll-DrnAR4SqlEE.th.vtt |
1.69Кб |
| 17. Even Roll-DrnAR4SqlEE.zh-CN.vtt |
676б |
| 17. Even Roll-M3L0a5V4Nf0.ar.vtt |
684б |
| 17. Even Roll-M3L0a5V4Nf0.en.vtt |
558б |
| 17. Even Roll-M3L0a5V4Nf0.es-ES.vtt |
611б |
| 17. Even Roll-M3L0a5V4Nf0.hr.vtt |
517б |
| 17. Even Roll-M3L0a5V4Nf0.it.vtt |
571б |
| 17. Even Roll-M3L0a5V4Nf0.ja.vtt |
596б |
| 17. Even Roll-M3L0a5V4Nf0.mp4 |
3.94Мб |
| 17. Even Roll-M3L0a5V4Nf0.pt-BR.vtt |
597б |
| 17. Even Roll-M3L0a5V4Nf0.zh-CN.vtt |
538б |
| 17. Fundamentals.html |
8.15Кб |
| 17. Implementing a Char-RNN.html |
7.80Кб |
| 17. Interlude.html |
6.86Кб |
| 17. Iterating Through Dictionaries with For Loops.html |
12.05Кб |
| 17. L1 19 Smart Beta V2-Rc9NEmNMzk8.en.vtt |
1.47Кб |
| 17. L1 19 Smart Beta V2-Rc9NEmNMzk8.mp4 |
4.30Мб |
| 17. M2L3 15 Summary V1-n2VxcEcw0GY.en.vtt |
710б |
| 17. M2L3 15 Summary V1-n2VxcEcw0GY.mp4 |
2.11Мб |
| 17. M4 L1B 16 Fundamentals V1-rPii5-ry8nc.en.vtt |
2.06Кб |
| 17. M4 L1B 16 Fundamentals V1-rPii5-ry8nc.mp4 |
5.70Мб |
| 17. M4 L2A 11 Types Of Risk Models V1-SHj2VzJggAE.en.vtt |
1.81Кб |
| 17. M4 L2A 11 Types Of Risk Models V1-SHj2VzJggAE.mp4 |
3.98Мб |
| 17. M4 L2b 16 PCA As A Factor Model Pt 2 V3-lcd-muqX5og.mp4 |
3.72Мб |
| 17. M4 L3b 13 Skewness And Momentum Conditional Factor V2-cMLTVZFKEm0.en.vtt |
1.56Кб |
| 17. M4 L3b 13 Skewness And Momentum Conditional Factor V2-cMLTVZFKEm0.mp4 |
2.90Мб |
| 17. Maximizing Information Gain.html |
8.10Кб |
| 17. Maximizing Information Gain-3FgJOpKfdY8.en.vtt |
4.00Кб |
| 17. Maximizing Information Gain-3FgJOpKfdY8.mp4 |
13.14Мб |
| 17. Maximizing Information Gain-3FgJOpKfdY8.pt-BR.vtt |
3.34Кб |
| 17. Maximizing Information Gain-3FgJOpKfdY8.zh-CN.vtt |
3.69Кб |
| 17. Measures of Center - The Mode-NE81NZgECqg.ar.vtt |
861б |
| 17. Measures of Center - The Mode-NE81NZgECqg.en.vtt |
653б |
| 17. Measures of Center - The Mode-NE81NZgECqg.mp4 |
954.56Кб |
| 17. Measures of Center - The Mode-NE81NZgECqg.pt-BR.vtt |
629б |
| 17. Measures of Center - The Mode-NE81NZgECqg.zh-CN.vtt |
613б |
| 17. Multiple Linear Regression.html |
13.91Кб |
| 17. MV 12 Embrace The Struggle V2-SGcgOm5kiKU.mp4 |
18.31Мб |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.en.vtt |
983б |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.es-ES.vtt |
1.02Кб |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ja.vtt |
1.04Кб |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ja-JP.vtt |
1.04Кб |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.mp4 |
6.31Мб |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.ru.vtt |
1.44Кб |
| 17. New Mean and Variance Solution - Artificial Intelligence for Robotics-SwxRWZaC1FM.zh-CN.vtt |
891б |
| 17. Next Steps.html |
8.07Кб |
| 17. One-Hot Encoding.html |
9.22Кб |
| 17. One-Hot Encoding.html |
9.24Кб |
| 17. One-Hot Encoding-AePvjhyvsBo.en.vtt |
2.23Кб |
| 17. One-Hot Encoding-AePvjhyvsBo.en.vtt |
2.23Кб |
| 17. One-Hot Encoding-AePvjhyvsBo.ja-JP.vtt |
2.55Кб |
| 17. One-Hot Encoding-AePvjhyvsBo.ja-JP.vtt |
2.55Кб |
| 17. One-Hot Encoding-AePvjhyvsBo.mp4 |
1.65Мб |
| 17. One-Hot Encoding-AePvjhyvsBo.mp4 |
1.65Мб |
| 17. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt |
2.03Кб |
| 17. One-Hot Encoding-AePvjhyvsBo.pt-BR.vtt |
2.03Кб |
| 17. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt |
2.03Кб |
| 17. One-Hot Encoding-AePvjhyvsBo.zh-CN.vtt |
2.03Кб |
| 17. Parsers.html |
9.35Кб |
| 17. PCA as a Factor Model Part 2.html |
7.42Кб |
| 17. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.en.vtt |
7.45Кб |
| 17. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.mp4 |
15.84Мб |
| 17. PyTorch V2 Part 5 Solution V1-AjrXltxqsK4.zh-CN.vtt |
5.82Кб |
| 17. Quiz Difficulties in AB Testing.html |
15.46Кб |
| 17. Quiz Type and Type Conversion.html |
16.51Кб |
| 17. Reading and Writing Files.html |
13.58Кб |
| 17. Reading And Writing Files Part II-1GRv1S6K8gQ.ar.vtt |
6.33Кб |
| 17. Reading And Writing Files Part II-1GRv1S6K8gQ.en.vtt |
4.90Кб |
| 17. Reading And Writing Files Part II-1GRv1S6K8gQ.mp4 |
5.92Мб |
| 17. Reading And Writing Files Part II-1GRv1S6K8gQ.pt-BR.vtt |
5.51Кб |
| 17. Reading And Writing Files Part II-1GRv1S6K8gQ.zh-CN.vtt |
4.55Кб |
| 17. Reading And Writing Files Using With-OQ-Y0mMjm00.ar.vtt |
2.43Кб |
| 17. Reading And Writing Files Using With-OQ-Y0mMjm00.en.vtt |
1.73Кб |
| 17. Reading And Writing Files Using With-OQ-Y0mMjm00.mp4 |
1.91Мб |
| 17. Reading And Writing Files Using With-OQ-Y0mMjm00.pt-BR.vtt |
2.00Кб |
| 17. Reading And Writing Files Using With-OQ-Y0mMjm00.zh-CN.vtt |
1.60Кб |
| 17. Reading And Writing Files-w-ZG6DMkVi4.ar.vtt |
3.29Кб |
| 17. Reading And Writing Files-w-ZG6DMkVi4.en.vtt |
2.47Кб |
| 17. Reading And Writing Files-w-ZG6DMkVi4.mp4 |
10.81Мб |
| 17. Reading And Writing Files-w-ZG6DMkVi4.pt-BR.vtt |
2.81Кб |
| 17. Reading And Writing Files-w-ZG6DMkVi4.zh-CN.vtt |
2.21Кб |
| 17. Shape of Distributions-UnN99AAYf8k.ar.vtt |
4.11Кб |
| 17. Shape of Distributions-UnN99AAYf8k.en.vtt |
2.94Кб |
| 17. Shape of Distributions-UnN99AAYf8k.mp4 |
3.17Мб |
| 17. Shape of Distributions-UnN99AAYf8k.pt-BR.vtt |
2.94Кб |
| 17. Shape of Distributions-UnN99AAYf8k.zh-CN.vtt |
2.30Кб |
| 17. Simulating From the Null-sL2yJtHZd8Y.en.vtt |
3.31Кб |
| 17. Simulating From the Null-sL2yJtHZd8Y.mp4 |
3.75Мб |
| 17. Simulating From the Null-sL2yJtHZd8Y.pt-BR.vtt |
3.27Кб |
| 17. Simulating From the Null-sL2yJtHZd8Y.zh-CN.vtt |
2.70Кб |
| 17. Skewness and Momentum Conditional Factor.html |
8.95Кб |
| 17. Smart Beta.html |
10.11Кб |
| 17. Smoothing Quiz 1.html |
12.79Кб |
| 17. Solution New Mean and Variance.html |
9.09Кб |
| 17. Summary.html |
6.92Кб |
| 17. Text Recap + Next Steps.html |
8.35Кб |
| 17. Text Recap + Next Steps.html |
11.58Кб |
| 17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.ar.vtt |
1.07Кб |
| 17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.en.vtt |
818б |
| 17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.mp4 |
2.73Мб |
| 17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.pt-BR.vtt |
944б |
| 17. Two Useful Theorems - Central Limit Theorem-L79u8ywRmG8.zh-CN.vtt |
670б |
| 17. Types of Risk Models.html |
7.52Кб |
| 17. Validation Solution.html |
8.12Кб |
| 17. Video Measures of Center (Mode).html |
9.93Кб |
| 17. Video Shape.html |
11.11Кб |
| 17. Video Simulating from the Null.html |
10.66Кб |
| 17. Video Two Useful Theorems - Central Limit Theorem.html |
10.46Кб |
| 18. 05 Batching Data V1-9Eg0wf3eW-k.en.vtt |
5.17Кб |
| 18. 05 Batching Data V1-9Eg0wf3eW-k.mp4 |
5.82Мб |
| 18. 05 Batching Data V1-9Eg0wf3eW-k.pt-BR.vtt |
4.92Кб |
| 18. 05 Batching Data V1-9Eg0wf3eW-k.zh-CN.vtt |
4.24Кб |
| 18. Batching Data, Solution.html |
7.41Кб |
| 18. Calculating Information Gain on a Dataset.html |
9.21Кб |
| 18. Closed Form Solution.html |
7.77Кб |
| 18. Closed Form Solution-G3fRVgLa5gI.en.vtt |
3.54Кб |
| 18. Closed Form Solution-G3fRVgLa5gI.mp4 |
2.84Мб |
| 18. Closed Form Solution-G3fRVgLa5gI.pt-BR.vtt |
3.39Кб |
| 18. Conclusion.html |
8.04Кб |
| 18. Conclusion.html |
7.26Кб |
| 18. Conclusion-qmGjRpMVBz8.en.vtt |
586б |
| 18. Conclusion-qmGjRpMVBz8.mp4 |
2.14Мб |
| 18. Conclusion-qmGjRpMVBz8.pt-BR.vtt |
745б |
| 18. Conclusion-qmGjRpMVBz8.zh-CN.vtt |
504б |
| 18. Conclusion-QRnLr7pwHyk.ar.vtt |
953б |
| 18. Conclusion-QRnLr7pwHyk.en.vtt |
763б |
| 18. Conclusion-QRnLr7pwHyk.mp4 |
4.48Мб |
| 18. Conclusion-QRnLr7pwHyk.pt-BR.vtt |
746б |
| 18. Conclusion-QRnLr7pwHyk.zh-CN.vtt |
724б |
| 18. Data in the Real World-HmipezTjTDY.ar.vtt |
2.08Кб |
| 18. Data in the Real World-HmipezTjTDY.en.vtt |
1.58Кб |
| 18. Data in the Real World-HmipezTjTDY.mp4 |
3.77Мб |
| 18. Data in the Real World-HmipezTjTDY.pt-BR.vtt |
1.71Кб |
| 18. Data in the Real World-HmipezTjTDY.zh-CN.vtt |
1.39Кб |
| 18. Disease Test 5.html |
11.25Кб |
| 18. Disease Test 5-4qW7a5E74No.ar.vtt |
122б |
| 18. Disease Test 5-4qW7a5E74No.en.vtt |
110б |
| 18. Disease Test 5-4qW7a5E74No.es-ES.vtt |
120б |
| 18. Disease Test 5-4qW7a5E74No.ja.vtt |
123б |
| 18. Disease Test 5-4qW7a5E74No.mp4 |
390.91Кб |
| 18. Disease Test 5-4qW7a5E74No.pt-BR.vtt |
122б |
| 18. Disease Test 5-4qW7a5E74No.th.vtt |
160б |
| 18. Disease Test 5-4qW7a5E74No.zh-CN.vtt |
111б |
| 18. Disease Test 5-nUxwwMNKIYo.ar.vtt |
670б |
| 18. Disease Test 5-nUxwwMNKIYo.en.vtt |
470б |
| 18. Disease Test 5-nUxwwMNKIYo.es-ES.vtt |
471б |
| 18. Disease Test 5-nUxwwMNKIYo.ja.vtt |
525б |
| 18. Disease Test 5-nUxwwMNKIYo.mp4 |
3.59Мб |
| 18. Disease Test 5-nUxwwMNKIYo.pt-BR.vtt |
620б |
| 18. Disease Test 5-nUxwwMNKIYo.th.vtt |
779б |
| 18. Disease Test 5-nUxwwMNKIYo.zh-CN.vtt |
431б |
| 18. Doubles.html |
9.42Кб |
| 18. Doubles-fkUyTJNbdzU.ar.vtt |
1.97Кб |
| 18. Doubles-fkUyTJNbdzU.en.vtt |
1.42Кб |
| 18. Doubles-fkUyTJNbdzU.es-ES.vtt |
1.45Кб |
| 18. Doubles-fkUyTJNbdzU.hr.vtt |
1.36Кб |
| 18. Doubles-fkUyTJNbdzU.it.vtt |
1.42Кб |
| 18. Doubles-fkUyTJNbdzU.ja.vtt |
1.39Кб |
| 18. Doubles-fkUyTJNbdzU.mp4 |
11.26Мб |
| 18. Doubles-fkUyTJNbdzU.pt-BR.vtt |
1.53Кб |
| 18. Doubles-fkUyTJNbdzU.th.vtt |
2.56Кб |
| 18. Doubles-fkUyTJNbdzU.zh-CN.vtt |
1.32Кб |
| 18. Doubles-On_Guw8wac8.ar.vtt |
765б |
| 18. Doubles-On_Guw8wac8.en.vtt |
569б |
| 18. Doubles-On_Guw8wac8.es-ES.vtt |
608б |
| 18. Doubles-On_Guw8wac8.hr.vtt |
565б |
| 18. Doubles-On_Guw8wac8.it.vtt |
625б |
| 18. Doubles-On_Guw8wac8.ja.vtt |
594б |
| 18. Doubles-On_Guw8wac8.mp4 |
3.65Мб |
| 18. Doubles-On_Guw8wac8.pt-BR.vtt |
598б |
| 18. Doubles-On_Guw8wac8.th.vtt |
1.04Кб |
| 18. Doubles-On_Guw8wac8.zh-CN.vtt |
497б |
| 18. Dropout Solution.html |
8.13Кб |
| 18. Feedback.html |
7.43Кб |
| 18. Fundamental Ratios.html |
8.19Кб |
| 18. HTML Structure.html |
7.71Кб |
| 18. Interlude.html |
7.02Кб |
| 18. Interlude Your Brain.html |
6.89Кб |
| 18. iVol Value and Idiosyncratic volatility Overview.html |
11.82Кб |
| 18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.en.vtt |
3.60Кб |
| 18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.mp4 |
3.04Мб |
| 18. KALMAN QUIZ Gaussian Motion 01 RENDER V2-LFPT0R3VaPs.zh-CN.vtt |
3.06Кб |
| 18. L1 20 Mutual Funds V2-LgaylDkS92Y.en.vtt |
1.16Кб |
| 18. L1 20 Mutual Funds V2-LgaylDkS92Y.mp4 |
3.01Мб |
| 18. M4 L1B 17 Fundamental Ratios V2-Eo-faV9CsP8.en.vtt |
2.90Кб |
| 18. M4 L1B 17 Fundamental Ratios V2-Eo-faV9CsP8.mp4 |
8.24Мб |
| 18. M4 L3b 14 IVol Value And Idiosyncratic Volatility Overview V2-h7vamh2FPMs.en.vtt |
1.91Кб |
| 18. M4 L3b 14 IVol Value And Idiosyncratic Volatility Overview V2-h7vamh2FPMs.mp4 |
4.60Мб |
| 18. M5 SC 16 HTML Structure V1-R3QLtHxedXw.en.vtt |
7.17Кб |
| 18. M5 SC 16 HTML Structure V1-R3QLtHxedXw.mp4 |
15.07Мб |
| 18. Maximum Likelihood.html |
11.72Кб |
| 18. Maximum Likelihood.html |
11.75Кб |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt |
1.64Кб |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.en.vtt |
1.64Кб |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.ja-JP.vtt |
1.91Кб |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.ja-JP.vtt |
1.91Кб |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.mp4 |
5.75Мб |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.mp4 |
5.75Мб |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt |
1.61Кб |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.pt-BR.vtt |
1.61Кб |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt |
1.43Кб |
| 18. Maximum Likelihood 1-1yJx-QtlvNI.zh-CN.vtt |
1.43Кб |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt |
4.41Кб |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.en.vtt |
4.41Кб |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.ja-JP.vtt |
4.38Кб |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.ja-JP.vtt |
4.38Кб |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4 |
3.85Мб |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4 |
3.85Мб |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt |
4.49Кб |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.pt-BR.vtt |
4.49Кб |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt |
3.67Кб |
| 18. Maximum Likelihood 2-6nUUeQ9AeUA.zh-CN.vtt |
3.67Кб |
| 18. Measures of Center (Mode).html |
15.84Кб |
| 18. Mutual Funds.html |
8.03Кб |
| 18. MV 14 What Happens In Your Brain V1-ioDP7ndd40Y.en.vtt |
2.63Кб |
| 18. MV 14 What Happens In Your Brain V1-ioDP7ndd40Y.mp4 |
5.58Мб |
| 18. MV When You Dont Believe In Yourself 1 V1-rjCr-Z7UhZE.mp4 |
19.84Мб |
| 18. Notebook + Quiz Central Limit Theorem.html |
13.01Кб |
| 18. Notebook + Quiz Simulating from the Null.html |
19.85Кб |
| 18. PCA as a Factor Model Coding Exercise.html |
7.72Кб |
| 18. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.en.vtt |
2.06Кб |
| 18. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.mp4 |
2.78Мб |
| 18. PyTorch V2 Part 5 Solution 2 V1-3Py2SbtZLbc.zh-CN.vtt |
1.68Кб |
| 18. Quiz Gaussian Motion.html |
10.05Кб |
| 18. Quiz Iterating Through Dictionaries.html |
14.66Кб |
| 18. Quiz Reading and Writing Files.html |
17.46Кб |
| 18. Smoothing Exercise.html |
12.20Кб |
| 18. Solution Type and Type Conversion.html |
9.75Кб |
| 18. Titanic Survival Model with Decision Trees.html |
7.84Кб |
| 18. Validation for Financial Data.html |
9.48Кб |
| 18. Video The Shape For Data In The World.html |
10.48Кб |
| 19. (Optional) Closed form Solution Math.html |
15.07Кб |
| 19. [Solution] Titanic Survival Model.html |
7.79Кб |
| 19. 06 Defining Model V2-_LWzyqq4hCY.en.vtt |
5.76Кб |
| 19. 06 Defining Model V2-_LWzyqq4hCY.mp4 |
9.05Мб |
| 19. 06 Defining Model V2-_LWzyqq4hCY.pt-BR.vtt |
5.99Кб |
| 19. 06 Defining Model V2-_LWzyqq4hCY.zh-CN.vtt |
4.87Кб |
| 19. Answer Gaussian Motion.html |
8.32Кб |
| 19. Defining the Model.html |
7.89Кб |
| 19. Disease Test 6.html |
11.27Кб |
| 19. Disease Test 6-cdFrLeXIkZU.ar.vtt |
341б |
| 19. Disease Test 6-cdFrLeXIkZU.en.vtt |
241б |
| 19. Disease Test 6-cdFrLeXIkZU.es-ES.vtt |
260б |
| 19. Disease Test 6-cdFrLeXIkZU.ja.vtt |
241б |
| 19. Disease Test 6-cdFrLeXIkZU.mp4 |
1.21Мб |
| 19. Disease Test 6-cdFrLeXIkZU.pt-BR.vtt |
269б |
| 19. Disease Test 6-cdFrLeXIkZU.th.vtt |
441б |
| 19. Disease Test 6-cdFrLeXIkZU.zh-CN.vtt |
214б |
| 19. Disease Test 6-OdVAt79eQak.ar.vtt |
1.07Кб |
| 19. Disease Test 6-OdVAt79eQak.en.vtt |
772б |
| 19. Disease Test 6-OdVAt79eQak.en-GB.vtt |
1.26Кб |
| 19. Disease Test 6-OdVAt79eQak.es-ES.vtt |
777б |
| 19. Disease Test 6-OdVAt79eQak.ja.vtt |
813б |
| 19. Disease Test 6-OdVAt79eQak.mp4 |
7.08Мб |
| 19. Disease Test 6-OdVAt79eQak.pt-BR.vtt |
937б |
| 19. Disease Test 6-OdVAt79eQak.zh-CN.vtt |
675б |
| 19. Event-Driven Factors.html |
8.19Кб |
| 19. Factor Returns.html |
11.57Кб |
| 19. Further Learning.html |
7.31Кб |
| 19. Gini Impurity.html |
10.26Кб |
| 19. Hedge Funds.html |
8.17Кб |
| 19. iVol Arbitrage and Efficient Pricing of Stocks.html |
8.95Кб |
| 19. L1 21 Hedge Funds V4-AgGPqvDFTHw.en.vtt |
1.25Кб |
| 19. L1 21 Hedge Funds V4-AgGPqvDFTHw.mp4 |
3.15Мб |
| 19. Learning Curves.html |
7.88Кб |
| 19. Learning Curves SC V1-ZNhnNVKl8NM.en.vtt |
7.98Кб |
| 19. Learning Curves SC V1-ZNhnNVKl8NM.mp4 |
6.01Мб |
| 19. Learning Curves SC V1-ZNhnNVKl8NM.pt-BR.vtt |
8.10Кб |
| 19. M4 L1B 18 EventDriven Factors V1-2mnwjChH2hg.en.vtt |
1.87Кб |
| 19. M4 L1B 18 EventDriven Factors V1-2mnwjChH2hg.mp4 |
4.64Мб |
| 19. M4 L2b 19 Outro V1-nfVnAkndJCY.en.vtt |
700б |
| 19. M4 L2b 19 Outro V1-nfVnAkndJCY.mp4 |
1.97Мб |
| 19. M4 L3a 10 Factor Returns V5-enyeTpyCS-o.en.vtt |
3.44Кб |
| 19. M4 L3a 10 Factor Returns V5-enyeTpyCS-o.mp4 |
7.22Мб |
| 19. M4 L3b 15 IVol Arbitrage And Efficient Pricing Of Stocks V3-7Fqe5DP6iG8.en.vtt |
1.83Кб |
| 19. M4 L3b 15 IVol Arbitrage And Efficient Pricing Of Stocks V3-7Fqe5DP6iG8.mp4 |
2.75Мб |
| 19. M5 SC 10 Parsing An HTML File V1-Ybl4fI92cYE.en.vtt |
1.55Кб |
| 19. M5 SC 10 Parsing An HTML File V1-Ybl4fI92cYE.mp4 |
3.65Мб |
| 19. Maximizing Probabilities.html |
11.17Кб |
| 19. Maximizing Probabilities.html |
11.21Кб |
| 19. Notebook + Quiz Central Limit Theorem - Part II.html |
13.00Кб |
| 19. Outro.html |
6.88Кб |
| 19. Parsing an HTML File.html |
8.71Кб |
| 19. Probability Conclusion.html |
7.27Кб |
| 19. Probability Conclusion-dsVKoXymYDU.ar.vtt |
2.00Кб |
| 19. Probability Conclusion-dsVKoXymYDU.en.vtt |
1.50Кб |
| 19. Probability Conclusion-dsVKoXymYDU.mp4 |
5.26Мб |
| 19. Probability Conclusion-dsVKoXymYDU.pt-BR.vtt |
1.70Кб |
| 19. Probability Conclusion-dsVKoXymYDU.zh-CN.vtt |
1.29Кб |
| 19. Quiz - Cross 1--xxrisIvD0E.en.vtt |
918б |
| 19. Quiz - Cross 1--xxrisIvD0E.en.vtt |
918б |
| 19. Quiz - Cross 1--xxrisIvD0E.ja-JP.vtt |
1000б |
| 19. Quiz - Cross 1--xxrisIvD0E.ja-JP.vtt |
1000б |
| 19. Quiz - Cross 1--xxrisIvD0E.mp4 |
3.02Мб |
| 19. Quiz - Cross 1--xxrisIvD0E.mp4 |
3.02Мб |
| 19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt |
947б |
| 19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt |
947б |
| 19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt |
813б |
| 19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt |
813б |
| 19. Quiz Cross Entropy-njq6bYrPqSU.en.vtt |
2.30Кб |
| 19. Quiz Cross Entropy-njq6bYrPqSU.en.vtt |
2.30Кб |
| 19. Quiz Cross Entropy-njq6bYrPqSU.ja-JP.vtt |
2.43Кб |
| 19. Quiz Cross Entropy-njq6bYrPqSU.ja-JP.vtt |
2.43Кб |
| 19. Quiz Cross Entropy-njq6bYrPqSU.mp4 |
1.86Мб |
| 19. Quiz Cross Entropy-njq6bYrPqSU.mp4 |
1.86Мб |
| 19. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt |
2.28Кб |
| 19. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt |
2.28Кб |
| 19. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt |
2.07Кб |
| 19. Quiz Cross Entropy-njq6bYrPqSU.zh-CN.vtt |
2.07Кб |
| 19. Quiz Shape and Outliers (What's the Impact).html |
12.98Кб |
| 19. Saving and Loading Models.html |
8.01Кб |
| 19. Saving Loading Models V1-psmrPu-mseA.en.vtt |
10.25Кб |
| 19. Saving Loading Models V1-psmrPu-mseA.mp4 |
15.94Мб |
| 19. Solution Iterating Through Dictionaries.html |
10.01Кб |
| 19. Solution Reading and Writing Files.html |
9.56Кб |
| 19. String Methods.html |
14.01Кб |
| 19. String Methods-Bv7CAxVOONs.ar.vtt |
4.57Кб |
| 19. String Methods-Bv7CAxVOONs.en.vtt |
3.38Кб |
| 19. String Methods-Bv7CAxVOONs.mp4 |
23.75Мб |
| 19. String Methods-Bv7CAxVOONs.pt-BR.vtt |
3.62Кб |
| 19. String Methods-Bv7CAxVOONs.zh-CN.vtt |
3.07Кб |
| 19. Video What is Notation.html |
11.14Кб |
| 19. What is a p-value Anyway.html |
11.86Кб |
| 19. What Is A P-value Anyway-eU6pUZjqviA.en.vtt |
4.05Кб |
| 19. What Is A P-value Anyway-eU6pUZjqviA.mp4 |
7.27Мб |
| 19. What Is A P-value Anyway-eU6pUZjqviA.pt-BR.vtt |
4.18Кб |
| 19. What Is A P-value Anyway-eU6pUZjqviA.zh-CN.vtt |
3.35Кб |
| 19. What is Notation-MaHV5cKfcmE.ar.vtt |
2.00Кб |
| 19. What is Notation-MaHV5cKfcmE.en.vtt |
1.49Кб |
| 19. What is Notation-MaHV5cKfcmE.mp4 |
4.82Мб |
| 19. What is Notation-MaHV5cKfcmE.pt-BR.vtt |
1.71Кб |
| 19. What is Notation-MaHV5cKfcmE.zh-CN.vtt |
1.43Кб |
| 20. 07 CharRNN Solution V1-ed33qePHrJM.en.vtt |
11.40Кб |
| 20. 07 CharRNN Solution V1-ed33qePHrJM.mp4 |
18.32Мб |
| 20. 07 CharRNN Solution V1-ed33qePHrJM.pt-BR.vtt |
11.12Кб |
| 20. 07 CharRNN Solution V1-ed33qePHrJM.zh-CN.vtt |
9.32Кб |
| 20. Bayes Rule Summary.html |
9.41Кб |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.ar.vtt |
3.79Кб |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.en.vtt |
2.58Кб |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.es-ES.vtt |
2.68Кб |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.ja.vtt |
2.63Кб |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.mp4 |
16.86Мб |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.pt-BR.vtt |
3.17Кб |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.th.vtt |
4.73Кб |
| 20. Bayes Rule Summary-RgXQ8GRsjfc.zh-CN.vtt |
2.25Кб |
| 20. Calculating the p-value-_W3Jg7jQ8jI.en.vtt |
3.60Кб |
| 20. Calculating the p-value-_W3Jg7jQ8jI.mp4 |
3.64Мб |
| 20. Calculating the p-value-_W3Jg7jQ8jI.pt-BR.vtt |
3.59Кб |
| 20. Calculating the p-value-_W3Jg7jQ8jI.zh-CN.vtt |
2.86Кб |
| 20. Char-RNN, Solution.html |
9.24Кб |
| 20. Cross-Entropy 1.html |
9.46Кб |
| 20. Cross-Entropy 1.html |
9.47Кб |
| 20. Cross Entropy 1-iREoPUrpXvE.en.vtt |
4.81Кб |
| 20. Cross Entropy 1-iREoPUrpXvE.en.vtt |
4.81Кб |
| 20. Cross Entropy 1-iREoPUrpXvE.ja-JP.vtt |
5.00Кб |
| 20. Cross Entropy 1-iREoPUrpXvE.ja-JP.vtt |
5.00Кб |
| 20. Cross Entropy 1-iREoPUrpXvE.mp4 |
4.22Мб |
| 20. Cross Entropy 1-iREoPUrpXvE.mp4 |
4.22Мб |
| 20. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt |
5.00Кб |
| 20. Cross Entropy 1-iREoPUrpXvE.pt-BR.vtt |
5.00Кб |
| 20. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt |
4.11Кб |
| 20. Cross Entropy 1-iREoPUrpXvE.zh-CN.vtt |
4.11Кб |
| 20. Detecting Overfitting and Underfitting with Learning Curves.html |
19.94Кб |
| 20. Factor returns quiz.html |
13.87Кб |
| 20. Hyperparameters.html |
14.28Кб |
| 20. Importing Files-qjeSn6zZbR0.ar.vtt |
8.71Кб |
| 20. Importing Files-qjeSn6zZbR0.en.vtt |
6.47Кб |
| 20. Importing Files-qjeSn6zZbR0.mp4 |
11.41Мб |
| 20. Importing Files-qjeSn6zZbR0.pt-BR.vtt |
7.35Кб |
| 20. Importing Files-qjeSn6zZbR0.zh-CN.vtt |
6.19Кб |
| 20. Importing Local Scripts.html |
12.13Кб |
| 20. Index Changes.html |
8.16Кб |
| 20. iVol Arbitrage Risk.html |
8.80Кб |
| 20. L1 22 Relative Returns V2-m4MvYRlyPoU.en.vtt |
1.77Кб |
| 20. L1 22 Relative Returns V2-m4MvYRlyPoU.mp4 |
4.62Мб |
| 20. L1 23 Absolute Returns V3-wbb6WSyXLdU.en.vtt |
872б |
| 20. L1 23 Absolute Returns V3-wbb6WSyXLdU.mp4 |
1.92Мб |
| 20. L3 08 While Loops V3-7Sf5tcPlKQw.en.vtt |
3.04Кб |
| 20. L3 08 While Loops V3-7Sf5tcPlKQw.mp4 |
10.89Мб |
| 20. L3 08 While Loops V3-7Sf5tcPlKQw.pt-BR.vtt |
3.43Кб |
| 20. L3 08 While Loops V3-7Sf5tcPlKQw.zh-CN.vtt |
2.81Кб |
| 20. Linear Regression Warnings.html |
9.49Кб |
| 20. Loading Image Data.html |
8.19Кб |
| 20. M4 L1B 19 Index Changes V1-C7QNfPZBXXo.en.vtt |
2.21Кб |
| 20. M4 L1B 19 Index Changes V1-C7QNfPZBXXo.mp4 |
6.47Мб |
| 20. M4 L3b 16 IVol Arbitrage Risk V3-rKtJ3iAYYns.en.vtt |
2.28Кб |
| 20. M4 L3b 16 IVol Arbitrage Risk V3-rKtJ3iAYYns.mp4 |
3.03Мб |
| 20. M5 SC 11 Navigating The Parse Tree V1-NzOB9Vyy0l4.en.vtt |
4.54Кб |
| 20. M5 SC 11 Navigating The Parse Tree V1-NzOB9Vyy0l4.mp4 |
10.97Мб |
| 20. Navigating The Parse Tree.html |
8.74Кб |
| 20. Notation for Random Variables-8NxTW1u4s-Y.ar.vtt |
6.20Кб |
| 20. Notation for Random Variables-8NxTW1u4s-Y.en.vtt |
4.68Кб |
| 20. Notation for Random Variables-8NxTW1u4s-Y.mp4 |
5.66Мб |
| 20. Notation for Random Variables-8NxTW1u4s-Y.pt-BR.vtt |
5.07Кб |
| 20. Notation for Random Variables-8NxTW1u4s-Y.zh-CN.vtt |
4.18Кб |
| 20. Outliers-HKIsvkZUZfo.ar.vtt |
3.49Кб |
| 20. Outliers-HKIsvkZUZfo.en.vtt |
2.63Кб |
| 20. Outliers-HKIsvkZUZfo.mp4 |
5.74Мб |
| 20. Outliers-HKIsvkZUZfo.pt-BR.vtt |
2.69Кб |
| 20. Outliers-HKIsvkZUZfo.zh-CN.vtt |
2.29Кб |
| 20. Outro.html |
7.29Кб |
| 20. Predict Function.html |
8.80Кб |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.en.vtt |
762б |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.es-ES.vtt |
819б |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.ja.vtt |
697б |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.ja-JP.vtt |
812б |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.mp4 |
1.20Мб |
| 20. Predict Function - Artificial Intelligence for Robotics-DV2cX9W0tT8.zh-CN.vtt |
717б |
| 20. PyTorch - Part 7-hFu7GTfRWks.en.vtt |
10.67Кб |
| 20. PyTorch - Part 7-hFu7GTfRWks.mp4 |
14.62Мб |
| 20. PyTorch - Part 7-hFu7GTfRWks.pt-BR.vtt |
10.86Кб |
| 20. PyTorch - Part 7-hFu7GTfRWks.zh-CN.vtt |
8.56Кб |
| 20. Relative and Absolute Returns.html |
11.13Кб |
| 20. String Methods.html |
13.37Кб |
| 20. Text Recap + Next Steps.html |
8.52Кб |
| 20. Video Calculating the p-value.html |
10.08Кб |
| 20. Video Random Variables.html |
11.83Кб |
| 20. Video Shape and Outliers.html |
10.35Кб |
| 20. Video When Does the Central Limit Theorem Not Work.html |
10.29Кб |
| 20. When Does the CLT Not Work-uZGTVUEMfrU.ar.vtt |
2.20Кб |
| 20. When Does the CLT Not Work-uZGTVUEMfrU.en.vtt |
1.63Кб |
| 20. When Does the CLT Not Work-uZGTVUEMfrU.mp4 |
4.80Мб |
| 20. When Does the CLT Not Work-uZGTVUEMfrU.pt-BR.vtt |
1.77Кб |
| 20. When Does the CLT Not Work-uZGTVUEMfrU.zh-CN.vtt |
1.35Кб |
| 20. While Loops.html |
11.18Кб |
| 21. 08 Making Predictions V3-BhrpV3kwATo.en.vtt |
8.77Кб |
| 21. 08 Making Predictions V3-BhrpV3kwATo.mp4 |
12.38Мб |
| 21. 08 Making Predictions V3-BhrpV3kwATo.pt-BR.vtt |
8.92Кб |
| 21. 08 Making Predictions V3-BhrpV3kwATo.zh-CN.vtt |
7.11Кб |
| 21. Another String Method - Split.html |
11.42Кб |
| 21. Cross-Entropy 2.html |
11.92Кб |
| 21. Cross-Entropy 2.html |
11.96Кб |
| 21. CrossEntropy V1-1BnhC6e0TFw.en.vtt |
8.03Кб |
| 21. CrossEntropy V1-1BnhC6e0TFw.en.vtt |
8.03Кб |
| 21. CrossEntropy V1-1BnhC6e0TFw.ja-JP.vtt |
8.47Кб |
| 21. CrossEntropy V1-1BnhC6e0TFw.ja-JP.vtt |
8.47Кб |
| 21. CrossEntropy V1-1BnhC6e0TFw.mp4 |
6.61Мб |
| 21. CrossEntropy V1-1BnhC6e0TFw.mp4 |
6.61Мб |
| 21. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt |
7.81Кб |
| 21. CrossEntropy V1-1BnhC6e0TFw.pt-BR.vtt |
7.81Кб |
| 21. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt |
6.67Кб |
| 21. CrossEntropy V1-1BnhC6e0TFw.zh-CN.vtt |
6.67Кб |
| 21. Decision Trees in sklearn.html |
17.16Кб |
| 21. Formula For Cross 1-qvr_ego_d6w.en.vtt |
607б |
| 21. Formula For Cross 1-qvr_ego_d6w.en.vtt |
607б |
| 21. Formula For Cross 1-qvr_ego_d6w.ja-JP.vtt |
698б |
| 21. Formula For Cross 1-qvr_ego_d6w.ja-JP.vtt |
698б |
| 21. Formula For Cross 1-qvr_ego_d6w.mp4 |
2.08Мб |
| 21. Formula For Cross 1-qvr_ego_d6w.mp4 |
2.08Мб |
| 21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt |
719б |
| 21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt |
719б |
| 21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt |
545б |
| 21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt |
545б |
| 21. get_clean_factor_and_forward_returns.html |
13.16Кб |
| 21. Hedging Strategies.html |
7.85Кб |
| 21. iVol Idiosyncratic Volatility.html |
8.88Кб |
| 21. L1 24 Hedging Strategies V3-8bzw4ZMGpWU.en.vtt |
1.93Кб |
| 21. L1 24 Hedging Strategies V3-8bzw4ZMGpWU.mp4 |
4.86Мб |
| 21. Loading Image Data Solution.html |
8.15Кб |
| 21. M4 L1B 20 Pre And Post Event V1-Olz9QZQaBxs.en.vtt |
3.64Кб |
| 21. M4 L1B 20 Pre And Post Event V1-Olz9QZQaBxs.mp4 |
10.49Мб |
| 21. M4 L3b 17 IVol Idiosyncratic Volatility V2-B8hOR4G9CJk.en.vtt |
2.84Кб |
| 21. M4 L3b 17 IVol Idiosyncratic Volatility V2-B8hOR4G9CJk.mp4 |
7.04Мб |
| 21. M5 SC 12 Searching The Parse Tree Part 1 V1-RyJuvYTF3Ms.en.vtt |
4.70Кб |
| 21. M5 SC 12 Searching The Parse Tree Part 1 V1-RyJuvYTF3Ms.mp4 |
11.88Мб |
| 21. Making Predictions.html |
8.24Кб |
| 21. Notebook + Quiz Central Limit Theorem - Part III.html |
13.39Кб |
| 21. Notebook Predict Function.html |
8.73Кб |
| 21. Polynomial Regression.html |
7.59Кб |
| 21. Polynomial Regression-DBhWG-PagEQ.en.vtt |
1.29Кб |
| 21. Polynomial Regression-DBhWG-PagEQ.mp4 |
982.28Кб |
| 21. Polynomial Regression-DBhWG-PagEQ.pt-BR.vtt |
1.18Кб |
| 21. Practice While Loops.html |
11.90Кб |
| 21. Pre and Post Event.html |
8.18Кб |
| 21. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.en.vtt |
4.47Кб |
| 21. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.mp4 |
6.80Мб |
| 21. PyTorch V2 Part 7 Solution V1-d_NhvI1yEf0.zh-CN.vtt |
3.67Кб |
| 21. Quiz Variable Types.html |
11.07Кб |
| 21. Quiz What is a p-value Anyway.html |
14.84Кб |
| 21. Robot Sensing 1-_DjfTytro6I.ar.vtt |
2.01Кб |
| 21. Robot Sensing 1-_DjfTytro6I.en.vtt |
1.43Кб |
| 21. Robot Sensing 1-_DjfTytro6I.es-ES.vtt |
1.53Кб |
| 21. Robot Sensing 1-_DjfTytro6I.ja.vtt |
1.38Кб |
| 21. Robot Sensing 1-_DjfTytro6I.mp4 |
11.42Мб |
| 21. Robot Sensing 1-_DjfTytro6I.pt-BR.vtt |
1.76Кб |
| 21. Robot Sensing 1-_DjfTytro6I.th.vtt |
2.91Кб |
| 21. Robot Sensing 1-_DjfTytro6I.zh-CN.vtt |
1.31Кб |
| 21. Robot Sensing 1.html |
14.98Кб |
| 21. Robot Sensing 1--TBAfU1cjRU.ar.vtt |
844б |
| 21. Robot Sensing 1--TBAfU1cjRU.en.vtt |
537б |
| 21. Robot Sensing 1--TBAfU1cjRU.es-ES.vtt |
560б |
| 21. Robot Sensing 1--TBAfU1cjRU.ja.vtt |
557б |
| 21. Robot Sensing 1--TBAfU1cjRU.mp4 |
5.17Мб |
| 21. Robot Sensing 1--TBAfU1cjRU.pt-BR.vtt |
735б |
| 21. Robot Sensing 1--TBAfU1cjRU.th.vtt |
910б |
| 21. Robot Sensing 1--TBAfU1cjRU.zh-CN.vtt |
521б |
| 21. Searching The Parse Tree.html |
8.76Кб |
| 21. Solution Detecting Overfitting and Underfitting.html |
10.49Кб |
| 21. The Standard Library.html |
9.03Кб |
| 21. The Standard Library-Fw3vf0tDrJM.ar.vtt |
4.50Кб |
| 21. The Standard Library-Fw3vf0tDrJM.en.vtt |
3.08Кб |
| 21. The Standard Library-Fw3vf0tDrJM.mp4 |
10.55Мб |
| 21. The Standard Library-Fw3vf0tDrJM.pt-BR.vtt |
3.39Кб |
| 21. The Standard Library-Fw3vf0tDrJM.zh-CN.vtt |
2.73Кб |
| 21. Video Working With Outliers.html |
10.48Кб |
| 21. Working with Outliers-4RnQjtJB8t8.ar.vtt |
2.89Кб |
| 21. Working with Outliers-4RnQjtJB8t8.en.vtt |
2.14Кб |
| 21. Working with Outliers-4RnQjtJB8t8.mp4 |
4.89Мб |
| 21. Working with Outliers-4RnQjtJB8t8.pt-BR.vtt |
2.46Кб |
| 21. Working with Outliers-4RnQjtJB8t8.zh-CN.vtt |
1.90Кб |
| 22. Analyst Ratings.html |
8.17Кб |
| 22. Answer Predict Function.html |
8.87Кб |
| 22. Bootstrapping-42j3YclcZ4Q.ar.vtt |
2.60Кб |
| 22. Bootstrapping-42j3YclcZ4Q.en.vtt |
1.89Кб |
| 22. Bootstrapping-42j3YclcZ4Q.mp4 |
4.23Мб |
| 22. Bootstrapping-42j3YclcZ4Q.pt-BR.vtt |
2.01Кб |
| 22. Bootstrapping-42j3YclcZ4Q.zh-CN.vtt |
1.66Кб |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt |
4.72Кб |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.en.vtt |
4.72Кб |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.ja-JP.vtt |
4.94Кб |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.ja-JP.vtt |
4.94Кб |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 |
4.14Мб |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4 |
4.14Мб |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt |
4.54Кб |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.pt-BR.vtt |
4.54Кб |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt |
4.01Кб |
| 22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.zh-CN.vtt |
4.01Кб |
| 22. Factor and forward returns exercise.html |
12.26Кб |
| 22. iVol Value, Fundamental or Discretionary Investing.html |
8.98Кб |
| 22. L1 25 Net Asset Value V2-hBnY2DmEFo4.en.vtt |
1.13Кб |
| 22. L1 25 Net Asset Value V2-hBnY2DmEFo4.mp4 |
2.06Мб |
| 22. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.en.vtt |
2.07Кб |
| 22. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.mp4 |
4.83Мб |
| 22. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.pt-BR.vtt |
2.33Кб |
| 22. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.en.vtt |
2.70Кб |
| 22. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.mp4 |
6.06Мб |
| 22. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.pt-BR.vtt |
2.95Кб |
| 22. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.en.vtt |
4.06Кб |
| 22. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.mp4 |
5.67Мб |
| 22. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.pt-BR.vtt |
4.34Кб |
| 22. Lists and Membership Operators.html |
16.66Кб |
| 22. M4 L1B 21 Analyst Ratings V1-cHkJo8qBKes.en.vtt |
4.31Кб |
| 22. M4 L1B 21 Analyst Ratings V1-cHkJo8qBKes.mp4 |
12.18Мб |
| 22. M4 L3b 18 IVol Value Fundamental Or Discretionary Investing V2-sKAE5Z8e7IM.en.vtt |
4.54Кб |
| 22. M4 L3b 18 IVol Value Fundamental Or Discretionary Investing V2-sKAE5Z8e7IM.mp4 |
11.14Мб |
| 22. M5 SC 13 Searching The Parse Tree Part 2 V1-WS_bkGCk7qk.en.vtt |
3.16Кб |
| 22. M5 SC 13 Searching The Parse Tree Part 2 V1-WS_bkGCk7qk.mp4 |
7.65Мб |
| 22. Multi-Class Cross Entropy.html |
10.45Кб |
| 22. Multi-Class Cross Entropy.html |
10.47Кб |
| 22. Net Asset Value.html |
9.35Кб |
| 22. Outliers Advice-BhhDoTgYQmI.ar.vtt |
1.91Кб |
| 22. Outliers Advice-BhhDoTgYQmI.en.vtt |
1.48Кб |
| 22. Outliers Advice-BhhDoTgYQmI.mp4 |
3.85Мб |
| 22. Outliers Advice-BhhDoTgYQmI.pt-BR.vtt |
1.64Кб |
| 22. Outliers Advice-BhhDoTgYQmI.zh-CN.vtt |
1.29Кб |
| 22. Outro.html |
7.50Кб |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.en.vtt |
297б |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.es-ES.vtt |
314б |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja.vtt |
340б |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.ja-JP.vtt |
317б |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.mp4 |
1.37Мб |
| 22. Predict Function Solution - Artificial Intelligence for Robotics-AMFig-sYGfM.zh-CN.vtt |
292б |
| 22. Pre-Notebook with GPU.html |
8.50Кб |
| 22. Quiz Calculating a p-value.html |
12.48Кб |
| 22. Quiz The Standard Library.html |
17.32Кб |
| 22. Random Observed Values-KFIt2OC3wCI.ar.vtt |
3.51Кб |
| 22. Random Observed Values-KFIt2OC3wCI.en.vtt |
2.74Кб |
| 22. Random Observed Values-KFIt2OC3wCI.mp4 |
4.47Мб |
| 22. Random Observed Values-KFIt2OC3wCI.pt-BR.vtt |
2.93Кб |
| 22. Random Observed Values-KFIt2OC3wCI.zh-CN.vtt |
2.37Кб |
| 22. Regularization.html |
7.53Кб |
| 22. Regularization-PyFNIcsNma0.en.vtt |
10.87Кб |
| 22. Regularization-PyFNIcsNma0.mp4 |
8.76Мб |
| 22. Regularization-PyFNIcsNma0.pt-BR.vtt |
10.38Кб |
| 22. Robot Sensing 2.html |
11.06Кб |
| 22. Robot Sensing 2-aBBmlnd7okQ.ar.vtt |
1.10Кб |
| 22. Robot Sensing 2-aBBmlnd7okQ.en.vtt |
952б |
| 22. Robot Sensing 2-aBBmlnd7okQ.es-ES.vtt |
975б |
| 22. Robot Sensing 2-aBBmlnd7okQ.ja.vtt |
846б |
| 22. Robot Sensing 2-aBBmlnd7okQ.mp4 |
2.03Мб |
| 22. Robot Sensing 2-aBBmlnd7okQ.pt-BR.vtt |
944б |
| 22. Robot Sensing 2-aBBmlnd7okQ.zh-CN.vtt |
896б |
| 22. Robot Sensing 2-t22oDruXhuo.ar.vtt |
584б |
| 22. Robot Sensing 2-t22oDruXhuo.en.vtt |
428б |
| 22. Robot Sensing 2-t22oDruXhuo.es-ES.vtt |
478б |
| 22. Robot Sensing 2-t22oDruXhuo.ja.vtt |
428б |
| 22. Robot Sensing 2-t22oDruXhuo.mp4 |
2.36Мб |
| 22. Robot Sensing 2-t22oDruXhuo.pt-BR.vtt |
473б |
| 22. Robot Sensing 2-t22oDruXhuo.zh-CN.vtt |
369б |
| 22. Searching by Class and Regexes.html |
8.76Кб |
| 22. Solution While Loops Practice.html |
9.84Кб |
| 22. Titanic Survival Model with Decision Trees.html |
8.50Кб |
| 22. Video Bootstrapping.html |
9.83Кб |
| 22. Video Capital vs. Lower.html |
12.10Кб |
| 22. Video Working With Outliers My Advice.html |
11.04Кб |
| 23. [Solution] Titanic Survival Model.html |
8.46Кб |
| 23. Alternative Data.html |
8.20Кб |
| 23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.ar.vtt |
2.96Кб |
| 23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.en.vtt |
2.30Кб |
| 23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.mp4 |
4.06Мб |
| 23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.pt-BR.vtt |
2.40Кб |
| 23. Bootstrapping the Central Limit Theorem-GJGUwNr_82s.zh-CN.vtt |
1.98Кб |
| 23. Children Tags.html |
8.73Кб |
| 23. Conclusion-pyeojf0NniQ.en.vtt |
558б |
| 23. Conclusion-pyeojf0NniQ.mp4 |
1.57Мб |
| 23. Conclusion-pyeojf0NniQ.pt-BR.vtt |
590б |
| 23. Connecting Errors and P-Values.html |
10.54Кб |
| 23. Connecting Errors and P-Values-hFNjd5l9CLs.en.vtt |
2.20Кб |
| 23. Connecting Errors and P-Values-hFNjd5l9CLs.mp4 |
8.58Мб |
| 23. Connecting Errors and P-Values-hFNjd5l9CLs.pt-BR.vtt |
1.97Кб |
| 23. Connecting Errors and P-Values-hFNjd5l9CLs.zh-CN.vtt |
1.81Кб |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt |
1.62Кб |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.en.vtt |
1.62Кб |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.ja-JP.vtt |
1.71Кб |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.ja-JP.vtt |
1.71Кб |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4 |
1.49Мб |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.mp4 |
1.49Мб |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt |
1.42Кб |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.pt-BR.vtt |
1.42Кб |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt |
1.46Кб |
| 23. DL 29 Logistic Regression-Minimizing The Error Function-KayqiYijlzc.zh-CN.vtt |
1.46Кб |
| 23. Error Function-V5kkHldUlVU.en.vtt |
4.87Кб |
| 23. Error Function-V5kkHldUlVU.en.vtt |
4.87Кб |
| 23. Error Function-V5kkHldUlVU.ja-JP.vtt |
4.68Кб |
| 23. Error Function-V5kkHldUlVU.ja-JP.vtt |
4.68Кб |
| 23. Error Function-V5kkHldUlVU.mp4 |
4.84Мб |
| 23. Error Function-V5kkHldUlVU.mp4 |
4.84Мб |
| 23. Error Function-V5kkHldUlVU.pt-BR.vtt |
5.19Кб |
| 23. Error Function-V5kkHldUlVU.pt-BR.vtt |
5.19Кб |
| 23. Error Function-V5kkHldUlVU.zh-CN.vtt |
4.15Кб |
| 23. Error Function-V5kkHldUlVU.zh-CN.vtt |
4.15Кб |
| 23. Expense Ratios.html |
8.10Кб |
| 23. iVOL Quantamental Investing.html |
8.88Кб |
| 23. Kalman Filter Code.html |
8.97Кб |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.en.vtt |
2.10Кб |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.es-ES.vtt |
2.19Кб |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ja.vtt |
1.99Кб |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ja-JP.vtt |
2.17Кб |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.mp4 |
13.28Мб |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.ru.vtt |
3.26Кб |
| 23. Kalman Filter Code - Artificial Intelligence for Robotics-3xBycKfnCOQ.zh-CN.vtt |
1.85Кб |
| 23. L1 26 Expense Ratios V2-SHZ0AhJq134.en.vtt |
865б |
| 23. L1 26 Expense Ratios V2-SHZ0AhJq134.mp4 |
1.37Мб |
| 23. Logistic Regression.html |
11.05Кб |
| 23. Logistic Regression.html |
11.08Кб |
| 23. M4 L1B 22 Alternative Data V1-p6NxGZnkrdc.en.vtt |
1.38Кб |
| 23. M4 L1B 22 Alternative Data V1-p6NxGZnkrdc.mp4 |
3.22Мб |
| 23. M4 L3a 11 Universe Construction Rule V3-Cr0-k7gUSNg.en.vtt |
2.33Кб |
| 23. M4 L3a 11 Universe Construction Rule V3-Cr0-k7gUSNg.mp4 |
5.40Мб |
| 23. M4 L3b 19 IVol Quantamental Investing V2-K6Ud6gams-U.en.vtt |
2.42Кб |
| 23. M4 L3b 19 IVol Quantamental Investing V2-K6Ud6gams-U.mp4 |
5.70Мб |
| 23. M5 SC 14 Searching The Parse Tree Part 3 V1-PR--1dLqcTM.en.vtt |
4.90Кб |
| 23. M5 SC 14 Searching The Parse Tree Part 3 V1-PR--1dLqcTM.mp4 |
13.06Мб |
| 23. Notebook Workspace w GPU.html |
8.63Кб |
| 23. Outro.html |
7.38Кб |
| 23. Quiz Introduction to Notation.html |
12.41Кб |
| 23. Quiz Lists and Membership Operators.html |
15.12Кб |
| 23. Quiz Shape and Outliers (Comparing Distributions).html |
16.37Кб |
| 23. Quiz While Loops.html |
13.64Кб |
| 23. Robot Sensing 3.html |
11.16Кб |
| 23. Robot Sensing 3--6l4_oprDOk.ar.vtt |
395б |
| 23. Robot Sensing 3--6l4_oprDOk.en.vtt |
322б |
| 23. Robot Sensing 3--6l4_oprDOk.es-ES.vtt |
329б |
| 23. Robot Sensing 3--6l4_oprDOk.ja.vtt |
327б |
| 23. Robot Sensing 3--6l4_oprDOk.mp4 |
1.48Мб |
| 23. Robot Sensing 3--6l4_oprDOk.pt-BR.vtt |
317б |
| 23. Robot Sensing 3--6l4_oprDOk.th.vtt |
480б |
| 23. Robot Sensing 3--6l4_oprDOk.zh-CN.vtt |
282б |
| 23. Robot Sensing 3-m1LSU9SPZ2k.ar.vtt |
783б |
| 23. Robot Sensing 3-m1LSU9SPZ2k.en.vtt |
663б |
| 23. Robot Sensing 3-m1LSU9SPZ2k.es-ES.vtt |
679б |
| 23. Robot Sensing 3-m1LSU9SPZ2k.ja.vtt |
657б |
| 23. Robot Sensing 3-m1LSU9SPZ2k.mp4 |
5.55Мб |
| 23. Robot Sensing 3-m1LSU9SPZ2k.pt-BR.vtt |
687б |
| 23. Robot Sensing 3-m1LSU9SPZ2k.zh-CN.vtt |
622б |
| 23. Solution The Standard Library.html |
8.79Кб |
| 23. Universe construction rule.html |
11.67Кб |
| 23. Video Bootstrapping The Central Limit Theorem.html |
10.86Кб |
| 24. Conclusions in Hypothesis Testing.html |
10.41Кб |
| 24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.en.vtt |
1.97Кб |
| 24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.mp4 |
7.48Мб |
| 24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.pt-BR.vtt |
1.99Кб |
| 24. Conclusions In Hypothesis Testing-I0Mo7hcxahY.zh-CN.vtt |
1.75Кб |
| 24. Exercise Get Headers and Paragraphs.html |
8.40Кб |
| 24. Gradient Descent.html |
17.25Кб |
| 24. Gradient Descent.html |
17.26Кб |
| 24. Gradient Descent-rhVIF-nigrY.en.vtt |
3.85Кб |
| 24. Gradient Descent-rhVIF-nigrY.en.vtt |
3.85Кб |
| 24. Gradient Descent-rhVIF-nigrY.ja-JP.vtt |
3.85Кб |
| 24. Gradient Descent-rhVIF-nigrY.ja-JP.vtt |
3.85Кб |
| 24. Gradient Descent-rhVIF-nigrY.mp4 |
3.76Мб |
| 24. Gradient Descent-rhVIF-nigrY.mp4 |
3.76Мб |
| 24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt |
3.98Кб |
| 24. Gradient Descent-rhVIF-nigrY.pt-BR.vtt |
3.98Кб |
| 24. iVol Joint Factor Volatility Enhanced Price Earnings Ratio.html |
9.01Кб |
| 24. L1 27 OpenEnd Mutual Funds V2-T4_mmjEKUAo.en.vtt |
2.30Кб |
| 24. L1 27 OpenEnd Mutual Funds V2-T4_mmjEKUAo.mp4 |
5.60Мб |
| 24. M4 L1B 23 Sentiment Analysis On News And Social Media V1-Jph7h2Yl0yg.en.vtt |
3.32Кб |
| 24. M4 L1B 23 Sentiment Analysis On News And Social Media V1-Jph7h2Yl0yg.mp4 |
8.87Мб |
| 24. M4 L3a 12 Return Denominator Leverage And Factor Returns V3-QxHrP5LoXAI.en.vtt |
4.18Кб |
| 24. M4 L3a 12 Return Denominator Leverage And Factor Returns V3-QxHrP5LoXAI.mp4 |
11.73Мб |
| 24. M4 L3b 20 IVol Volatility Enhanced Price Earnings Ratio V2-x-1nqTEPGcA.en.vtt |
2.78Кб |
| 24. M4 L3b 20 IVol Volatility Enhanced Price Earnings Ratio V2-x-1nqTEPGcA.mp4 |
7.46Мб |
| 24. Notebook + Quiz Bootstrapping.html |
12.86Кб |
| 24. Notebook 1D Kalman Filter.html |
8.73Кб |
| 24. Open End Mutual Funds.html |
8.36Кб |
| 24. PyTorch - Part 8-S9F7MtJ5jls.en.vtt |
16.82Кб |
| 24. PyTorch - Part 8-S9F7MtJ5jls.mp4 |
29.51Мб |
| 24. PyTorch - Part 8-S9F7MtJ5jls.pt-BR.vtt |
16.61Кб |
| 24. PyTorch - Part 8-S9F7MtJ5jls.zh-CN.vtt |
13.19Кб |
| 24. Quiz Shape and Outliers (Visuals).html |
15.36Кб |
| 24. Return Denominator, Leverage, and Factor Returns.html |
11.80Кб |
| 24. Robot Sensing 4.html |
10.87Кб |
| 24. Robot Sensing 4-d_fbDqAGVdE.ar.vtt |
252б |
| 24. Robot Sensing 4-d_fbDqAGVdE.en.vtt |
214б |
| 24. Robot Sensing 4-d_fbDqAGVdE.es-ES.vtt |
221б |
| 24. Robot Sensing 4-d_fbDqAGVdE.ja.vtt |
198б |
| 24. Robot Sensing 4-d_fbDqAGVdE.mp4 |
1.06Мб |
| 24. Robot Sensing 4-d_fbDqAGVdE.pt-BR.vtt |
202б |
| 24. Robot Sensing 4-d_fbDqAGVdE.zh-CN.vtt |
207б |
| 24. Robot Sensing 4-vasdN2Gol0M.ar.vtt |
2.21Кб |
| 24. Robot Sensing 4-vasdN2Gol0M.en.vtt |
1.67Кб |
| 24. Robot Sensing 4-vasdN2Gol0M.es-ES.vtt |
1.69Кб |
| 24. Robot Sensing 4-vasdN2Gol0M.ja.vtt |
1.52Кб |
| 24. Robot Sensing 4-vasdN2Gol0M.mp4 |
9.87Мб |
| 24. Robot Sensing 4-vasdN2Gol0M.pt-BR.vtt |
1.58Кб |
| 24. Robot Sensing 4-vasdN2Gol0M.th.vtt |
2.98Кб |
| 24. Robot Sensing 4-vasdN2Gol0M.zh-CN.vtt |
1.56Кб |
| 24. Sentiment Analysis on News and Social Media.html |
8.35Кб |
| 24. Solution List and Membership Operators.html |
11.14Кб |
| 24. Solution While Loops Quiz.html |
10.66Кб |
| 24. Techniques for Importing Modules.html |
11.72Кб |
| 24. Techniques For Importing Modules-jPGyFgcIvsM.ar.vtt |
6.13Кб |
| 24. Techniques For Importing Modules-jPGyFgcIvsM.en.vtt |
4.34Кб |
| 24. Techniques For Importing Modules-jPGyFgcIvsM.mp4 |
5.33Мб |
| 24. Techniques For Importing Modules-jPGyFgcIvsM.pt-BR.vtt |
4.84Кб |
| 24. Techniques For Importing Modules-jPGyFgcIvsM.zh-CN.vtt |
3.93Кб |
| 24. Techniques For Importing Modules Part II-aASigWQ_XU0.ar.vtt |
2.86Кб |
| 24. Techniques For Importing Modules Part II-aASigWQ_XU0.en.vtt |
2.03Кб |
| 24. Techniques For Importing Modules Part II-aASigWQ_XU0.mp4 |
5.00Мб |
| 24. Techniques For Importing Modules Part II-aASigWQ_XU0.pt-BR.vtt |
2.14Кб |
| 24. Techniques For Importing Modules Part II-aASigWQ_XU0.zh-CN.vtt |
1.74Кб |
| 24. There Must Be A Better Way-oBp8YX2AgJw.ar.vtt |
2.26Кб |
| 24. There Must Be A Better Way-oBp8YX2AgJw.en.vtt |
1.68Кб |
| 24. There Must Be A Better Way-oBp8YX2AgJw.mp4 |
3.23Мб |
| 24. There Must Be A Better Way-oBp8YX2AgJw.pt-BR.vtt |
1.61Кб |
| 24. There Must Be A Better Way-oBp8YX2AgJw.zh-CN.vtt |
1.45Кб |
| 24. Transfer Learning.html |
8.19Кб |
| 24. Video Better Way.html |
9.86Кб |
| 24. Visualizing Your Tree.html |
10.85Кб |
| 25. Aggregations-ADx1x2ljFB4.ar.vtt |
3.51Кб |
| 25. Aggregations-ADx1x2ljFB4.en.vtt |
2.90Кб |
| 25. Aggregations-ADx1x2ljFB4.mp4 |
5.11Мб |
| 25. Aggregations-ADx1x2ljFB4.pt-BR.vtt |
2.80Кб |
| 25. Aggregations-ADx1x2ljFB4.zh-CN.vtt |
2.51Кб |
| 25. Answer 1D Kalman Filter.html |
8.89Кб |
| 25. Background Of Bootstrapping-6Vg5kGoDl7k.ar.vtt |
1.87Кб |
| 25. Background Of Bootstrapping-6Vg5kGoDl7k.en.vtt |
1.43Кб |
| 25. Background Of Bootstrapping-6Vg5kGoDl7k.mp4 |
5.39Мб |
| 25. Background Of Bootstrapping-6Vg5kGoDl7k.pt-BR.vtt |
1.40Кб |
| 25. Background Of Bootstrapping-6Vg5kGoDl7k.zh-CN.vtt |
1.23Кб |
| 25. Break, Continue.html |
12.54Кб |
| 25. Break and Continue-F6qJAv9ts9Y.ar.vtt |
5.88Кб |
| 25. Break and Continue-F6qJAv9ts9Y.en.vtt |
3.95Кб |
| 25. Break and Continue-F6qJAv9ts9Y.mp4 |
13.22Мб |
| 25. Break and Continue-F6qJAv9ts9Y.pt-BR.vtt |
4.43Кб |
| 25. Break and Continue-F6qJAv9ts9Y.zh-CN.vtt |
3.64Кб |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt |
2.55Кб |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt |
2.55Кб |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.ja-JP.vtt |
2.68Кб |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.ja-JP.vtt |
2.68Кб |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.mp4 |
1.98Мб |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.mp4 |
1.98Мб |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt |
2.64Кб |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt |
2.64Кб |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt |
2.21Кб |
| 25. Gradient Descent Algorithm-snxmBgi_GeU.zh-CN.vtt |
2.21Кб |
| 25. Handling Withdrawals.html |
10.21Кб |
| 25. iVol Generalizing the volatility Factor.html |
8.90Кб |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.en.vtt |
5.76Кб |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.es-ES.vtt |
6.15Кб |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.ja.vtt |
4.87Кб |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.ja-JP.vtt |
6.26Кб |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.mp4 |
33.73Мб |
| 25. Kalman Filter Code Solution - Artificial Intelligence for Robotics-X7cixvcogl8.zh-CN.vtt |
5.34Кб |
| 25. L1 28 Open End Mutual Funds Handling Withdrawals V2-46NGAQHY-Mc.en.vtt |
816б |
| 25. L1 28 Open End Mutual Funds Handling Withdrawals V2-46NGAQHY-Mc.mp4 |
1.55Мб |
| 25. L1 29 Open End Funds Holding Cash For Withdrawals V3-RU8-ZRBJ2Cw.en.vtt |
1.87Кб |
| 25. L1 29 Open End Funds Holding Cash For Withdrawals V3-RU8-ZRBJ2Cw.mp4 |
6.50Мб |
| 25. L2 05 Lists Methods V1-WXkPm4rv6ng.en.vtt |
2.16Кб |
| 25. L2 05 Lists Methods V1-WXkPm4rv6ng.mp4 |
5.28Мб |
| 25. L2 05 Lists Methods V1-WXkPm4rv6ng.pt-BR.vtt |
2.28Кб |
| 25. L2 05 Lists Methods V1-WXkPm4rv6ng.zh-CN.vtt |
1.90Кб |
| 25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.en.vtt |
4.63Кб |
| 25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.mp4 |
13.33Мб |
| 25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.pt-BR.vtt |
4.45Кб |
| 25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.zh-CN.vtt |
3.84Кб |
| 25. List Methods.html |
13.69Кб |
| 25. Logistic Regression Algorithm.html |
9.33Кб |
| 25. Logistic Regression Algorithm.html |
9.34Кб |
| 25. M4 L1B 24 NLP Used To Enhance Fundamental Analysis V1-9zMWuZ9j7rI.en.vtt |
5.36Кб |
| 25. M4 L1B 24 NLP Used To Enhance Fundamental Analysis V1-9zMWuZ9j7rI.mp4 |
15.06Мб |
| 25. M4 L3b 21 IVol Generalizing The Volatility Factor V2-Lt1JPjKHPmk.en.vtt |
1.11Кб |
| 25. M4 L3b 21 IVol Generalizing The Volatility Factor V2-Lt1JPjKHPmk.mp4 |
2.83Мб |
| 25. Making dollar neutral and leverage ratio equal to one.html |
12.61Кб |
| 25. NLP used to enhance Fundamental Analysis.html |
8.96Кб |
| 25. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.en.vtt |
13.49Кб |
| 25. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.mp4 |
17.49Мб |
| 25. PyTorch V2 Part 8 Solution V1-4n6T93hKRD4.zh-CN.vtt |
10.50Кб |
| 25. Quiz Connecting Errors and P-Values.html |
15.94Кб |
| 25. Quiz Shape and Outliers (Final Quiz).html |
16.25Кб |
| 25. Quiz Techniques for Importing Modules.html |
11.33Кб |
| 25. Robot Sensing 5.html |
10.99Кб |
| 25. Robot Sensing 5-PGG9agooCvw.ar.vtt |
544б |
| 25. Robot Sensing 5-PGG9agooCvw.en.vtt |
414б |
| 25. Robot Sensing 5-PGG9agooCvw.es-ES.vtt |
451б |
| 25. Robot Sensing 5-PGG9agooCvw.ja.vtt |
395б |
| 25. Robot Sensing 5-PGG9agooCvw.mp4 |
1.74Мб |
| 25. Robot Sensing 5-PGG9agooCvw.pt-BR.vtt |
410б |
| 25. Robot Sensing 5-PGG9agooCvw.th.vtt |
667б |
| 25. Robot Sensing 5-PGG9agooCvw.zh-CN.vtt |
420б |
| 25. Robot Sensing 5-tIrqdYTT_9Q.ar.vtt |
118б |
| 25. Robot Sensing 5-tIrqdYTT_9Q.en.vtt |
97б |
| 25. Robot Sensing 5-tIrqdYTT_9Q.es-ES.vtt |
108б |
| 25. Robot Sensing 5-tIrqdYTT_9Q.ja.vtt |
123б |
| 25. Robot Sensing 5-tIrqdYTT_9Q.mp4 |
506.06Кб |
| 25. Robot Sensing 5-tIrqdYTT_9Q.pt-BR.vtt |
106б |
| 25. Robot Sensing 5-tIrqdYTT_9Q.th.vtt |
137б |
| 25. Robot Sensing 5-tIrqdYTT_9Q.zh-CN.vtt |
110б |
| 25. The Requests Library.html |
8.34Кб |
| 25. Transfer Learning Solution.html |
8.16Кб |
| 25. Video Summation.html |
12.24Кб |
| 25. Video The Background of Bootstrapping.html |
9.97Кб |
| 25. Visualizing Your Tree Exercise.html |
8.44Кб |
| 26. AIT M5L4B 99 Summary V1-NgIufQFEHps.en.vtt |
496б |
| 26. AIT M5L4B 99 Summary V1-NgIufQFEHps.mp4 |
2.07Мб |
| 26. Close End Mutual Funds.html |
8.40Кб |
| 26. Factor returns coding exercise.html |
12.23Кб |
| 26. Kalman Prediction.html |
8.25Кб |
| 26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.en.vtt |
3.23Кб |
| 26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.mp4 |
2.53Мб |
| 26. KALMAN QUIZ Kalman Prediction V1-d8Gx4-RghD0.zh-CN.vtt |
2.69Кб |
| 26. L1 30 ClosedEnd Mutual Funds V3-y2VhtrF6vdc.en.vtt |
2.25Кб |
| 26. L1 30 ClosedEnd Mutual Funds V3-y2VhtrF6vdc.mp4 |
6.39Мб |
| 26. M4 L1B 25 Other Alternative Data V1-hMw3AuPVSSs.en.vtt |
5.26Кб |
| 26. M4 L1B 25 Other Alternative Data V1-hMw3AuPVSSs.mp4 |
15.49Мб |
| 26. M4 L3b 22 Summary V2-Tq8yVPEHxXs.en.vtt |
1.38Кб |
| 26. M4 L3b 22 Summary V2-Tq8yVPEHxXs.mp4 |
3.67Мб |
| 26. Notation for the Mean-3EF15AoRxyM.ar.vtt |
2.81Кб |
| 26. Notation for the Mean-3EF15AoRxyM.en.vtt |
2.05Кб |
| 26. Notation for the Mean-3EF15AoRxyM.mp4 |
3.03Мб |
| 26. Notation for the Mean-3EF15AoRxyM.pt-BR.vtt |
2.26Кб |
| 26. Notation for the Mean-3EF15AoRxyM.zh-CN.vtt |
1.82Кб |
| 26. Notebook + Quiz Drawing Conclusions.html |
15.33Кб |
| 26. Other Alternative Data.html |
8.89Кб |
| 26. Outro.html |
7.95Кб |
| 26. Pre-Notebook Gradient Descent.html |
11.17Кб |
| 26. Pre-Notebook Gradient Descent.html |
11.17Кб |
| 26. Quiz Break, Continue.html |
10.52Кб |
| 26. Quiz List Methods.html |
14.87Кб |
| 26. Robot Sensing 6.html |
10.99Кб |
| 26. Robot Sensing 6-hXyXlk0gYzk.ar.vtt |
456б |
| 26. Robot Sensing 6-hXyXlk0gYzk.en.vtt |
343б |
| 26. Robot Sensing 6-hXyXlk0gYzk.es-ES.vtt |
348б |
| 26. Robot Sensing 6-hXyXlk0gYzk.ja.vtt |
326б |
| 26. Robot Sensing 6-hXyXlk0gYzk.mp4 |
1.58Мб |
| 26. Robot Sensing 6-hXyXlk0gYzk.pt-BR.vtt |
329б |
| 26. Robot Sensing 6-hXyXlk0gYzk.th.vtt |
554б |
| 26. Robot Sensing 6-hXyXlk0gYzk.zh-CN.vtt |
331б |
| 26. Robot Sensing 6-Se-ddM2Wdac.ar.vtt |
175б |
| 26. Robot Sensing 6-Se-ddM2Wdac.en.vtt |
147б |
| 26. Robot Sensing 6-Se-ddM2Wdac.es-ES.vtt |
157б |
| 26. Robot Sensing 6-Se-ddM2Wdac.ja.vtt |
176б |
| 26. Robot Sensing 6-Se-ddM2Wdac.mp4 |
484.71Кб |
| 26. Robot Sensing 6-Se-ddM2Wdac.pt-BR.vtt |
157б |
| 26. Robot Sensing 6-Se-ddM2Wdac.th.vtt |
240б |
| 26. Robot Sensing 6-Se-ddM2Wdac.zh-CN.vtt |
149б |
| 26. Summary.html |
8.71Кб |
| 26. Summary.html |
7.56Кб |
| 26. Text Descriptive Statistics Summary .html |
13.29Кб |
| 26. Third-Party Libraries.html |
13.64Кб |
| 26. Third Party Libraries And Package Managers-epOze9gC6T4.ar.vtt |
4.42Кб |
| 26. Third Party Libraries And Package Managers-epOze9gC6T4.en.vtt |
3.49Кб |
| 26. Third Party Libraries And Package Managers-epOze9gC6T4.mp4 |
7.36Мб |
| 26. Third Party Libraries And Package Managers-epOze9gC6T4.pt-BR.vtt |
3.73Кб |
| 26. Third Party Libraries And Package Managers-epOze9gC6T4.zh-CN.vtt |
3.10Кб |
| 26. Tips, Tricks, and Other Notes.html |
9.14Кб |
| 26. Video Notation for the Mean.html |
10.40Кб |
| 26. Video Why are Sampling Distributions Important.html |
9.56Кб |
| 26. Why Are Sampling Distributions Important-aDFDOCJKoH0.ar.vtt |
1.39Кб |
| 26. Why Are Sampling Distributions Important-aDFDOCJKoH0.en.vtt |
1.09Кб |
| 26. Why Are Sampling Distributions Important-aDFDOCJKoH0.mp4 |
4.09Мб |
| 26. Why Are Sampling Distributions Important-aDFDOCJKoH0.pt-BR.vtt |
1.10Кб |
| 26. Why Are Sampling Distributions Important-aDFDOCJKoH0.zh-CN.vtt |
927б |
| 27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.ar.vtt |
4.74Кб |
| 27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.en.vtt |
3.22Кб |
| 27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.mp4 |
6.17Мб |
| 27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.pt-BR.vtt |
3.51Кб |
| 27. Descriptive vs. Inferential Statistics-XV9pd8-RZ78.zh-CN.vtt |
2.74Кб |
| 27. Experimenting with an Interpreter.html |
11.36Кб |
| 27. Experimenting With An Interpreter-hspPtnQwMPg.ar.vtt |
5.13Кб |
| 27. Experimenting With An Interpreter-hspPtnQwMPg.en.vtt |
3.80Кб |
| 27. Experimenting With An Interpreter-hspPtnQwMPg.mp4 |
5.58Мб |
| 27. Experimenting With An Interpreter-hspPtnQwMPg.pt-BR.vtt |
4.15Кб |
| 27. Experimenting With An Interpreter-hspPtnQwMPg.zh-CN.vtt |
3.29Кб |
| 27. Interlude.html |
8.55Кб |
| 27. L1 31 Transaction Costs V2-JGYAv7tQpyY.en.vtt |
2.48Кб |
| 27. L1 31 Transaction Costs V2-JGYAv7tQpyY.mp4 |
5.79Мб |
| 27. L2 04 Tuples V3-33xN-AbTMoc.en.vtt |
2.34Кб |
| 27. L2 04 Tuples V3-33xN-AbTMoc.mp4 |
3.96Мб |
| 27. L2 04 Tuples V3-33xN-AbTMoc.pt-BR.vtt |
2.74Кб |
| 27. L2 04 Tuples V3-33xN-AbTMoc.zh-CN.vtt |
2.10Кб |
| 27. M4 L1B 26 Summary V1-yuLQA24Thms.en.vtt |
1.01Кб |
| 27. M4 L1B 26 Summary V1-yuLQA24Thms.mp4 |
3.44Мб |
| 27. M4 L3a 13 Sharpe Ratio V4-W8nfg1fkloA.en.vtt |
1.73Кб |
| 27. M4 L3a 13 Sharpe Ratio V4-W8nfg1fkloA.mp4 |
4.58Мб |
| 27. MV When Those Around You Dont Believe In You V1--vKspTOIXY0.mp4 |
5.69Мб |
| 27. Next Motion Models and State.html |
8.64Кб |
| 27. Notebook Gradient Descent.html |
9.57Кб |
| 27. Notebook Gradient Descent.html |
9.57Кб |
| 27. Other Things to Consider - Impact of Large Sample Size.html |
11.72Кб |
| 27. Quiz + Text Recap Next Steps.html |
15.68Кб |
| 27. Quiz Summation.html |
12.17Кб |
| 27. Robot Sensing 7.html |
10.99Кб |
| 27. Robot Sensing 7-clFL503NPyY.ar.vtt |
126б |
| 27. Robot Sensing 7-clFL503NPyY.en.vtt |
109б |
| 27. Robot Sensing 7-clFL503NPyY.es-ES.vtt |
118б |
| 27. Robot Sensing 7-clFL503NPyY.ja.vtt |
113б |
| 27. Robot Sensing 7-clFL503NPyY.mp4 |
218.29Кб |
| 27. Robot Sensing 7-clFL503NPyY.pt-BR.vtt |
108б |
| 27. Robot Sensing 7-clFL503NPyY.th.vtt |
177б |
| 27. Robot Sensing 7-clFL503NPyY.zh-CN.vtt |
108б |
| 27. Robot Sensing 7-goEMc0w58xM.ar.vtt |
211б |
| 27. Robot Sensing 7-goEMc0w58xM.en.vtt |
155б |
| 27. Robot Sensing 7-goEMc0w58xM.es-ES.vtt |
174б |
| 27. Robot Sensing 7-goEMc0w58xM.ja.vtt |
175б |
| 27. Robot Sensing 7-goEMc0w58xM.mp4 |
473.30Кб |
| 27. Robot Sensing 7-goEMc0w58xM.pt-BR.vtt |
169б |
| 27. Robot Sensing 7-goEMc0w58xM.th.vtt |
244б |
| 27. Robot Sensing 7-goEMc0w58xM.zh-CN.vtt |
158б |
| 27. Sharpe Ratio.html |
11.57Кб |
| 27. Solution Break, Continue.html |
9.54Кб |
| 27. Summary.html |
8.00Кб |
| 27. Transaction Costs.html |
9.20Кб |
| 27. Tuples.html |
11.46Кб |
| 27. Video Descriptive vs. Inferential Statistics.html |
10.86Кб |
| 27. What If Our Sample Is Large-WoTCeSTL1eM.en.vtt |
3.16Кб |
| 27. What If Our Sample Is Large-WoTCeSTL1eM.mp4 |
11.95Мб |
| 27. What If Our Sample Is Large-WoTCeSTL1eM.pt-BR.vtt |
3.02Кб |
| 27. What If Our Sample Is Large-WoTCeSTL1eM.zh-CN.vtt |
2.76Кб |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt |
4.27Кб |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.en.vtt |
4.27Кб |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.ja-JP.vtt |
4.35Кб |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.ja-JP.vtt |
4.35Кб |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4 |
3.20Мб |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.mp4 |
3.20Мб |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt |
4.24Кб |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.pt-BR.vtt |
4.24Кб |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt |
3.61Кб |
| 28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt |
3.61Кб |
| 28. L1 32 Summary V1-Pt2sVftdwS0.en.vtt |
1.75Кб |
| 28. L1 32 Summary V1-Pt2sVftdwS0.mp4 |
4.74Мб |
| 28. Multiple Testing Corrections-DuMgeHrkIF0.en.vtt |
2.21Кб |
| 28. Multiple Testing Corrections-DuMgeHrkIF0.mp4 |
7.33Мб |
| 28. Multiple Testing Corrections-DuMgeHrkIF0.pt-BR.vtt |
2.21Кб |
| 28. Multiple Testing Corrections-DuMgeHrkIF0.zh-CN.vtt |
1.90Кб |
| 28. Online Resources.html |
14.64Кб |
| 28. Other Things to Consider - What If We Test More Than Once.html |
10.84Кб |
| 28. Perceptron vs Gradient Descent.html |
9.65Кб |
| 28. Perceptron vs Gradient Descent.html |
9.66Кб |
| 28. Quiz Descriptive vs. Inferential (Udacity Students).html |
12.06Кб |
| 28. Quiz Notation for the Mean.html |
14.69Кб |
| 28. Quiz Tuples.html |
14.37Кб |
| 28. Robot Sensing 8.html |
11.57Кб |
| 28. Robot Sensing 8-hyAQ28MYmc4.ar.vtt |
315б |
| 28. Robot Sensing 8-hyAQ28MYmc4.en.vtt |
248б |
| 28. Robot Sensing 8-hyAQ28MYmc4.es-ES.vtt |
243б |
| 28. Robot Sensing 8-hyAQ28MYmc4.ja.vtt |
200б |
| 28. Robot Sensing 8-hyAQ28MYmc4.mp4 |
978.72Кб |
| 28. Robot Sensing 8-hyAQ28MYmc4.pt-BR.vtt |
249б |
| 28. Robot Sensing 8-hyAQ28MYmc4.th.vtt |
393б |
| 28. Robot Sensing 8-hyAQ28MYmc4.zh-CN.vtt |
226б |
| 28. Robot Sensing 8-lmuonrQp_lM.ar.vtt |
626б |
| 28. Robot Sensing 8-lmuonrQp_lM.en.vtt |
524б |
| 28. Robot Sensing 8-lmuonrQp_lM.en-GB.vtt |
804б |
| 28. Robot Sensing 8-lmuonrQp_lM.es-ES.vtt |
531б |
| 28. Robot Sensing 8-lmuonrQp_lM.ja.vtt |
541б |
| 28. Robot Sensing 8-lmuonrQp_lM.mp4 |
3.35Мб |
| 28. Robot Sensing 8-lmuonrQp_lM.pt-BR.vtt |
497б |
| 28. Robot Sensing 8-lmuonrQp_lM.zh-CN.vtt |
492б |
| 28. Sharpe Ratio Coding Exercise.html |
12.23Кб |
| 28. Summary.html |
7.67Кб |
| 28. Zip and Enumerate.html |
11.38Кб |
| 28. Zip and Enumerate-bSJPzVArE7M.ar.vtt |
3.58Кб |
| 28. Zip and Enumerate-bSJPzVArE7M.en.vtt |
2.54Кб |
| 28. Zip and Enumerate-bSJPzVArE7M.mp4 |
15.71Мб |
| 28. Zip and Enumerate-bSJPzVArE7M.pt-BR.vtt |
2.63Кб |
| 28. Zip and Enumerate-bSJPzVArE7M.zh-CN.vtt |
2.35Кб |
| 29. Conclusion.html |
8.55Кб |
| 29. Conclusion-rEMrswkLvh8.ar.vtt |
652б |
| 29. Conclusion-rEMrswkLvh8.en.vtt |
473б |
| 29. Conclusion-rEMrswkLvh8.mp4 |
2.84Мб |
| 29. Conclusion-rEMrswkLvh8.pt-BR.vtt |
508б |
| 29. Conclusion-rEMrswkLvh8.zh-CN.vtt |
456б |
| 29. Continuous Perceptrons.html |
9.27Кб |
| 29. Continuous Perceptrons.html |
9.29Кб |
| 29. Continuous Perceptrons-07-JJ-aGEfM.en.vtt |
1.33Кб |
| 29. Continuous Perceptrons-07-JJ-aGEfM.en.vtt |
1.33Кб |
| 29. Continuous Perceptrons-07-JJ-aGEfM.ja-JP.vtt |
1.33Кб |
| 29. Continuous Perceptrons-07-JJ-aGEfM.ja-JP.vtt |
1.33Кб |
| 29. Continuous Perceptrons-07-JJ-aGEfM.mp4 |
1.13Мб |
| 29. Continuous Perceptrons-07-JJ-aGEfM.mp4 |
1.13Мб |
| 29. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt |
1.31Кб |
| 29. Continuous Perceptrons-07-JJ-aGEfM.pt-BR.vtt |
1.31Кб |
| 29. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt |
1.15Кб |
| 29. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt |
1.15Кб |
| 29. Generalizing.html |
9.23Кб |
| 29. Generalizing-SdMk3aROgSc.ar.vtt |
1.73Кб |
| 29. Generalizing-SdMk3aROgSc.en.vtt |
1.24Кб |
| 29. Generalizing-SdMk3aROgSc.es-ES.vtt |
1.32Кб |
| 29. Generalizing-SdMk3aROgSc.ja.vtt |
1.22Кб |
| 29. Generalizing-SdMk3aROgSc.mp4 |
6.27Мб |
| 29. Generalizing-SdMk3aROgSc.pt-BR.vtt |
1.33Кб |
| 29. Generalizing-SdMk3aROgSc.zh-CN.vtt |
1.17Кб |
| 29. Halfway There!.html |
11.91Кб |
| 29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.en.vtt |
1.70Кб |
| 29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.mp4 |
6.98Мб |
| 29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.pt-BR.vtt |
1.87Кб |
| 29. How Do Confidence Intervals Hypothesis Tests Compare-KEmsEViOoMA.zh-CN.vtt |
1.44Кб |
| 29. L2 03 Sets V2-eIHNFgTFfnA.en.vtt |
2.25Кб |
| 29. L2 03 Sets V2-eIHNFgTFfnA.mp4 |
5.92Мб |
| 29. L2 03 Sets V2-eIHNFgTFfnA.pt-BR.vtt |
2.60Кб |
| 29. L2 03 Sets V2-eIHNFgTFfnA.zh-CN.vtt |
2.14Кб |
| 29. Other Things to Consider - How Do CIs and HTs Compare.html |
10.56Кб |
| 29. Quiz Descriptive vs. Inferential (Bagels).html |
18.14Кб |
| 29. Quiz Zip and Enumerate.html |
14.98Кб |
| 29. Sets.html |
11.25Кб |
| 29. Text Summary on Notation.html |
11.25Кб |
| 2956218691.gif |
229.48Кб |
| 30. M4 L3A 141 Ranked Information Coefficient Part 1 V4-_huNulOIuB0.en.vtt |
3.48Кб |
| 30. M4 L3A 141 Ranked Information Coefficient Part 1 V4-_huNulOIuB0.mp4 |
11.32Мб |
| 30. Non-linear Data.html |
9.21Кб |
| 30. Non-linear Data.html |
9.23Кб |
| 30. Non-Linear Data-F7ZiE8PQiSc.en.vtt |
633б |
| 30. Non-Linear Data-F7ZiE8PQiSc.en.vtt |
633б |
| 30. Non-Linear Data-F7ZiE8PQiSc.ja-JP.vtt |
712б |
| 30. Non-Linear Data-F7ZiE8PQiSc.ja-JP.vtt |
712б |
| 30. Non-Linear Data-F7ZiE8PQiSc.mp4 |
2.14Мб |
| 30. Non-Linear Data-F7ZiE8PQiSc.mp4 |
2.14Мб |
| 30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt |
600б |
| 30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt |
600б |
| 30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt |
624б |
| 30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt |
624б |
| 30. Notebook + Quiz Impact of Sample Size.html |
21.65Кб |
| 30. Quiz Sets.html |
12.69Кб |
| 30. Ranked Information Coefficient (Rank IC) Part 1.html |
11.77Кб |
| 30. Sebastian At Home.html |
10.84Кб |
| 30. Sebastian At Home-R4zq6mPPMxs.ar.vtt |
1.89Кб |
| 30. Sebastian At Home-R4zq6mPPMxs.en.vtt |
1.44Кб |
| 30. Sebastian At Home-R4zq6mPPMxs.es-ES.vtt |
1.44Кб |
| 30. Sebastian At Home-R4zq6mPPMxs.ja.vtt |
1.46Кб |
| 30. Sebastian At Home-R4zq6mPPMxs.mp4 |
11.04Мб |
| 30. Sebastian At Home-R4zq6mPPMxs.pt-BR.vtt |
1.73Кб |
| 30. Sebastian At Home-R4zq6mPPMxs.zh-CN.vtt |
1.22Кб |
| 30. Sebastian At Home-TtmQ7YCw_1Y.ar.vtt |
1.51Кб |
| 30. Sebastian At Home-TtmQ7YCw_1Y.en.vtt |
1.04Кб |
| 30. Sebastian At Home-TtmQ7YCw_1Y.es-ES.vtt |
1.14Кб |
| 30. Sebastian At Home-TtmQ7YCw_1Y.ja.vtt |
1.13Кб |
| 30. Sebastian At Home-TtmQ7YCw_1Y.mp4 |
7.74Мб |
| 30. Sebastian At Home-TtmQ7YCw_1Y.pt-BR.vtt |
1.30Кб |
| 30. Sebastian At Home-TtmQ7YCw_1Y.zh-CN.vtt |
930б |
| 30. Solution Zip and Enumerate.html |
11.68Кб |
| 30. Text Descriptive vs. Inferential Summary.html |
11.41Кб |
| 3004978616.gif |
164.57Кб |
| 3013998667.gif |
404.61Кб |
| 3034378634.gif |
173.12Кб |
| 3040398570.gif |
148.74Кб |
| 3050028596.gif |
192.14Кб |
| 3056738546.gif |
183.68Кб |
| 3058428551.gif |
124.68Кб |
| 3081768538.gif |
202.88Кб |
| 31. Descriptive Statistics Summary-Fe7Gta2SfLA.ar.vtt |
679б |
| 31. Descriptive Statistics Summary-Fe7Gta2SfLA.en.vtt |
523б |
| 31. Descriptive Statistics Summary-Fe7Gta2SfLA.mp4 |
1.88Мб |
| 31. Descriptive Statistics Summary-Fe7Gta2SfLA.pt-BR.vtt |
503б |
| 31. Descriptive Statistics Summary-Fe7Gta2SfLA.zh-CN.vtt |
442б |
| 31. Dictionaries and Identity Operators.html |
12.46Кб |
| 31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.en.vtt |
3.39Кб |
| 31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.mp4 |
10.70Мб |
| 31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.pt-BR.vtt |
3.76Кб |
| 31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.zh-CN.vtt |
2.76Кб |
| 31. Learning Objectives - Conditional Probability.html |
18.64Кб |
| 31. List Comprehensions.html |
11.26Кб |
| 31. List Comprehensions-6qxo-NV9v_s.ar.vtt |
4.13Кб |
| 31. List Comprehensions-6qxo-NV9v_s.en.vtt |
2.93Кб |
| 31. List Comprehensions-6qxo-NV9v_s.mp4 |
17.37Мб |
| 31. List Comprehensions-6qxo-NV9v_s.pt-BR.vtt |
3.53Кб |
| 31. List Comprehensions-6qxo-NV9v_s.zh-CN.vtt |
2.88Кб |
| 31. M4 L3A 142 Ranked Information Coefficient Part 2 V5-WKGmog0Nzgo.en.vtt |
3.37Кб |
| 31. M4 L3A 142 Ranked Information Coefficient Part 2 V5-WKGmog0Nzgo.mp4 |
8.07Мб |
| 31. Non-Linear Models.html |
9.24Кб |
| 31. Non-Linear Models.html |
9.25Кб |
| 31. Non-Linear Models-HWuBKCZsCo8.en.vtt |
1.30Кб |
| 31. Non-Linear Models-HWuBKCZsCo8.en.vtt |
1.30Кб |
| 31. Non-Linear Models-HWuBKCZsCo8.ja-JP.vtt |
1.41Кб |
| 31. Non-Linear Models-HWuBKCZsCo8.ja-JP.vtt |
1.41Кб |
| 31. Non-Linear Models-HWuBKCZsCo8.mp4 |
1.13Мб |
| 31. Non-Linear Models-HWuBKCZsCo8.mp4 |
1.13Мб |
| 31. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt |
1.39Кб |
| 31. Non-Linear Models-HWuBKCZsCo8.pt-BR.vtt |
1.39Кб |
| 31. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt |
1.12Кб |
| 31. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt |
1.12Кб |
| 31. Notebook + Quiz Multiple Tests.html |
18.52Кб |
| 31. Ranked Information Coefficient (Rank IC) Part 2.html |
11.76Кб |
| 31. Video Summary.html |
9.64Кб |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt |
3.02Кб |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt |
3.02Кб |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.ja-JP.vtt |
3.38Кб |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.ja-JP.vtt |
3.38Кб |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 |
2.83Мб |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.mp4 |
2.83Мб |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt |
3.34Кб |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.pt-BR.vtt |
3.34Кб |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt |
2.76Кб |
| 32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt |
2.76Кб |
| 32. Combinando modelos-Boy3zHVrWB4.en.vtt |
5.29Кб |
| 32. Combinando modelos-Boy3zHVrWB4.en.vtt |
5.29Кб |
| 32. Combinando modelos-Boy3zHVrWB4.ja-JP.vtt |
5.81Кб |
| 32. Combinando modelos-Boy3zHVrWB4.ja-JP.vtt |
5.81Кб |
| 32. Combinando modelos-Boy3zHVrWB4.mp4 |
4.73Мб |
| 32. Combinando modelos-Boy3zHVrWB4.mp4 |
4.73Мб |
| 32. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt |
5.29Кб |
| 32. Combinando modelos-Boy3zHVrWB4.pt-BR.vtt |
5.29Кб |
| 32. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt |
4.64Кб |
| 32. Combinando modelos-Boy3zHVrWB4.zh-CN.vtt |
4.64Кб |
| 32. Hypothesis Testing Conclusion.html |
9.58Кб |
| 32. Hypothesis Testing Conclusion-nQFchD4XPPs.en.vtt |
1.06Кб |
| 32. Hypothesis Testing Conclusion-nQFchD4XPPs.mp4 |
4.36Мб |
| 32. Hypothesis Testing Conclusion-nQFchD4XPPs.pt-BR.vtt |
1.11Кб |
| 32. Hypothesis Testing Conclusion-nQFchD4XPPs.zh-CN.vtt |
890б |
| 32. Layers-pg99FkXYK0M.en.vtt |
3.40Кб |
| 32. Layers-pg99FkXYK0M.en.vtt |
3.40Кб |
| 32. Layers-pg99FkXYK0M.ja-JP.vtt |
3.70Кб |
| 32. Layers-pg99FkXYK0M.ja-JP.vtt |
3.70Кб |
| 32. Layers-pg99FkXYK0M.mp4 |
3.11Мб |
| 32. Layers-pg99FkXYK0M.mp4 |
3.11Мб |
| 32. Layers-pg99FkXYK0M.pt-BR.vtt |
3.29Кб |
| 32. Layers-pg99FkXYK0M.pt-BR.vtt |
3.29Кб |
| 32. Layers-pg99FkXYK0M.zh-CN.vtt |
3.04Кб |
| 32. Layers-pg99FkXYK0M.zh-CN.vtt |
3.04Кб |
| 32. Multiclass Classification-uNTtvxwfox0.en.vtt |
2.08Кб |
| 32. Multiclass Classification-uNTtvxwfox0.en.vtt |
2.08Кб |
| 32. Multiclass Classification-uNTtvxwfox0.ja-JP.vtt |
2.29Кб |
| 32. Multiclass Classification-uNTtvxwfox0.ja-JP.vtt |
2.29Кб |
| 32. Multiclass Classification-uNTtvxwfox0.mp4 |
1.88Мб |
| 32. Multiclass Classification-uNTtvxwfox0.mp4 |
1.88Мб |
| 32. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt |
2.12Кб |
| 32. Multiclass Classification-uNTtvxwfox0.pt-BR.vtt |
2.12Кб |
| 32. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt |
1.82Кб |
| 32. Multiclass Classification-uNTtvxwfox0.zh-CN.vtt |
1.82Кб |
| 32. Neural Network Architecture.html |
14.23Кб |
| 32. Neural Network Architecture.html |
14.30Кб |
| 32. Quiz Dictionaries and Identity Operators.html |
16.74Кб |
| 32. Quiz factor_information_coefficient.html |
12.49Кб |
| 32. Quiz List Comprehensions.html |
12.16Кб |
| 32. Reducing Uncertainty.html |
9.09Кб |
| 32. Reducing Uncertainty-zuFMhmKQ--o.ar.vtt |
1.88Кб |
| 32. Reducing Uncertainty-zuFMhmKQ--o.en.vtt |
1.48Кб |
| 32. Reducing Uncertainty-zuFMhmKQ--o.mp4 |
4.40Мб |
| 32. Reducing Uncertainty-zuFMhmKQ--o.pt-BR.vtt |
1.50Кб |
| 32. Reducing Uncertainty-zuFMhmKQ--o.zh-CN.vtt |
1.23Кб |
| 33. Bayes' Rule and Robotics.html |
9.16Кб |
| 33. Bayes' Rule and Robotics-meNSO42JF6I.ar.vtt |
1.27Кб |
| 33. Bayes' Rule and Robotics-meNSO42JF6I.en.vtt |
979б |
| 33. Bayes' Rule and Robotics-meNSO42JF6I.mp4 |
2.91Мб |
| 33. Bayes' Rule and Robotics-meNSO42JF6I.pt-BR.vtt |
1.14Кб |
| 33. Bayes' Rule and Robotics-meNSO42JF6I.zh-CN.vtt |
892б |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt |
6.17Кб |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.en.vtt |
6.17Кб |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.ja-JP.vtt |
7.05Кб |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.ja-JP.vtt |
7.05Кб |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 |
5.33Мб |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4 |
5.33Мб |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt |
6.76Кб |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.pt-BR.vtt |
6.76Кб |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt |
5.36Кб |
| 33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.zh-CN.vtt |
5.36Кб |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt |
1.97Кб |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.en.vtt |
1.97Кб |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.ja-JP.vtt |
2.31Кб |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.ja-JP.vtt |
2.31Кб |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 |
1.72Мб |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.mp4 |
1.72Мб |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt |
2.12Кб |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.pt-BR.vtt |
2.12Кб |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt |
1.69Кб |
| 33. DL 42 Neural Network Error Function (1)-SC1wEW7TtKs.zh-CN.vtt |
1.69Кб |
| 33. Feedforward.html |
10.64Кб |
| 33. Feedforward.html |
10.67Кб |
| 33. Quiz + Text Recap.html |
17.07Кб |
| 33. Rank IC coding exercise.html |
12.24Кб |
| 33. Solution Dictionaries and Identity Operators.html |
10.06Кб |
| 33. Solution List Comprehensions.html |
10.24Кб |
| 34. Backpropagation.html |
13.70Кб |
| 34. Backpropagation.html |
13.77Кб |
| 34. Backpropagation V2-1SmY3TZTyUk.en.vtt |
7.21Кб |
| 34. Backpropagation V2-1SmY3TZTyUk.en.vtt |
7.21Кб |
| 34. Backpropagation V2-1SmY3TZTyUk.ja-JP.vtt |
7.49Кб |
| 34. Backpropagation V2-1SmY3TZTyUk.ja-JP.vtt |
7.49Кб |
| 34. Backpropagation V2-1SmY3TZTyUk.mp4 |
6.52Мб |
| 34. Backpropagation V2-1SmY3TZTyUk.mp4 |
6.52Мб |
| 34. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt |
7.17Кб |
| 34. Backpropagation V2-1SmY3TZTyUk.pt-BR.vtt |
7.17Кб |
| 34. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt |
6.39Кб |
| 34. Backpropagation V2-1SmY3TZTyUk.zh-CN.vtt |
6.39Кб |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt |
3.41Кб |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.en.vtt |
3.41Кб |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.ja-JP.vtt |
3.52Кб |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.ja-JP.vtt |
3.52Кб |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 |
3.31Мб |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.mp4 |
3.31Мб |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt |
3.44Кб |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.pt-BR.vtt |
3.44Кб |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt |
2.91Кб |
| 34. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt |
2.91Кб |
| 34. Chain Rule-YAhIBOnbt54.en.vtt |
1.65Кб |
| 34. Chain Rule-YAhIBOnbt54.en.vtt |
1.65Кб |
| 34. Chain Rule-YAhIBOnbt54.ja-JP.vtt |
1.64Кб |
| 34. Chain Rule-YAhIBOnbt54.ja-JP.vtt |
1.64Кб |
| 34. Chain Rule-YAhIBOnbt54.mp4 |
1.46Мб |
| 34. Chain Rule-YAhIBOnbt54.mp4 |
1.46Мб |
| 34. Chain Rule-YAhIBOnbt54.pt-BR.vtt |
1.73Кб |
| 34. Chain Rule-YAhIBOnbt54.pt-BR.vtt |
1.73Кб |
| 34. Chain Rule-YAhIBOnbt54.zh-CN.vtt |
1.42Кб |
| 34. Chain Rule-YAhIBOnbt54.zh-CN.vtt |
1.42Кб |
| 34. Conclusion.html |
9.05Кб |
| 34. Congrats!-vDoqpwCHxs4.ar.vtt |
673б |
| 34. Congrats!-vDoqpwCHxs4.en.vtt |
467б |
| 34. Congrats!-vDoqpwCHxs4.mp4 |
3.11Мб |
| 34. Congrats!-vDoqpwCHxs4.pt-BR.vtt |
583б |
| 34. Congrats!-vDoqpwCHxs4.zh-CN.vtt |
410б |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt |
6.16Кб |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.en.vtt |
6.16Кб |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.ja-JP.vtt |
6.18Кб |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.ja-JP.vtt |
6.18Кб |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 |
5.69Мб |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4 |
5.69Мб |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt |
6.50Кб |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.pt-BR.vtt |
6.50Кб |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt |
5.05Кб |
| 34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.zh-CN.vtt |
5.05Кб |
| 34. Learning from Sensor Data.html |
12.38Кб |
| 34. M4 L3a 151 The Fundamental Law Of Active Management Part 1 V4-iCW_vqvrTlw.en.vtt |
4.77Кб |
| 34. M4 L3a 151 The Fundamental Law Of Active Management Part 1 V4-iCW_vqvrTlw.mp4 |
12.96Мб |
| 34. Quiz More With Dictionaries.html |
14.44Кб |
| 34. The Fundamental Law of Active Management Part 1.html |
11.80Кб |
| 35. Compound Data Structures.html |
11.43Кб |
| 35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.en.vtt |
1.24Кб |
| 35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.mp4 |
4.21Мб |
| 35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.pt-BR.vtt |
1.58Кб |
| 35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.zh-CN.vtt |
1.08Кб |
| 35. M4 L3a 152 The Fundamental Law Of Active Management Part 2 V7-CMc4ujA8Ahs.en.vtt |
2.80Кб |
| 35. M4 L3a 152 The Fundamental Law Of Active Management Part 2 V7-CMc4ujA8Ahs.mp4 |
7.75Мб |
| 35. Pre-Notebook Analyzing Student Data.html |
10.19Кб |
| 35. Pre-Notebook Analyzing Student Data.html |
10.19Кб |
| 35. The Fundamental Law of Active Management Part 2.html |
13.10Кб |
| 35. Using Sensor Data.html |
9.07Кб |
| 35. Using Sensor Data-vhl-SADfti8.ar.vtt |
2.19Кб |
| 35. Using Sensor Data-vhl-SADfti8.en.vtt |
1.59Кб |
| 35. Using Sensor Data-vhl-SADfti8.mp4 |
5.21Мб |
| 35. Using Sensor Data-vhl-SADfti8.pt-BR.vtt |
1.86Кб |
| 35. Using Sensor Data-vhl-SADfti8.zh-CN.vtt |
1.38Кб |
| 36. Learning Objectives - Bayes' Rule.html |
17.23Кб |
| 36. M4 L3a 161 Real World Constraints Liquidity V3-eu0YZRMu_3w.en.vtt |
2.69Кб |
| 36. M4 L3a 161 Real World Constraints Liquidity V3-eu0YZRMu_3w.mp4 |
7.61Мб |
| 36. Notebook Analyzing Student Data.html |
9.56Кб |
| 36. Notebook Analyzing Student Data.html |
9.56Кб |
| 36. Quiz Compound Data Structures.html |
15.88Кб |
| 36. Real World Constraints Liquidity.html |
11.71Кб |
| 37. Bayes Rule Conclusion.html |
8.97Кб |
| 37. Bayes Rule Conclusion-vlfDGCD8w0s.ar.vtt |
731б |
| 37. Bayes Rule Conclusion-vlfDGCD8w0s.en.vtt |
530б |
| 37. Bayes Rule Conclusion-vlfDGCD8w0s.mp4 |
1.61Мб |
| 37. Bayes Rule Conclusion-vlfDGCD8w0s.pt-BR.vtt |
579б |
| 37. Bayes Rule Conclusion-vlfDGCD8w0s.zh-CN.vtt |
458б |
| 37. M4 L3a 162 Real World Constraints Transaction Costs V2-HAif7xSh8z0.en.vtt |
2.56Кб |
| 37. M4 L3a 162 Real World Constraints Transaction Costs V2-HAif7xSh8z0.mp4 |
4.91Мб |
| 37. Outro.html |
8.97Кб |
| 37. Outro.html |
8.97Кб |
| 37. Real World Constraints Transaction Costs.html |
11.76Кб |
| 37. Solution Compound Data Structions.html |
9.97Кб |
| 38. Conclusion.html |
9.81Кб |
| 38. Conclusion-LLEZadlXM8A.ar.vtt |
534б |
| 38. Conclusion-LLEZadlXM8A.en.vtt |
423б |
| 38. Conclusion-LLEZadlXM8A.mp4 |
2.54Мб |
| 38. Conclusion-LLEZadlXM8A.pt-BR.vtt |
411б |
| 38. Conclusion-LLEZadlXM8A.zh-CN.vtt |
389б |
| 38. M4 L3a 171 Turnover As Proxy For Real World Constraints V2-6xo8sZjoSVk.en.vtt |
2.06Кб |
| 38. M4 L3a 171 Turnover As Proxy For Real World Constraints V2-6xo8sZjoSVk.mp4 |
5.50Мб |
| 38. Turnover as a Proxy for Real World Constraints.html |
11.78Кб |
| 39. Factor Rank Autocorrelation (Turnover).html |
11.71Кб |
| 39. M4 L3a 172 Factor Rank Autocorrelation Turnover V2-QBvbMiVW100.en.vtt |
4.45Кб |
| 39. M4 L3a 172 Factor Rank Autocorrelation Turnover V2-QBvbMiVW100.mp4 |
9.81Мб |
| 39. Summary.html |
15.26Кб |
| 40. Turnover Exercise.html |
12.20Кб |
| 41. M4 L3a 181 Quantile Analysis Part 1 V2-oT5GFbg0G8g.en.vtt |
3.33Кб |
| 41. M4 L3a 181 Quantile Analysis Part 1 V2-oT5GFbg0G8g.mp4 |
4.33Мб |
| 41. Quantile Analysis Part 1.html |
11.64Кб |
| 42. M4 L3a 182 Quantile Analysis Part 2 V3-NF18kx0sfBE.en.vtt |
2.96Кб |
| 42. M4 L3a 182 Quantile Analysis Part 2 V3-NF18kx0sfBE.mp4 |
2.91Мб |
| 42. Quantile Analysis Part 2.html |
12.10Кб |
| 43. mean returns by quantile quiz.html |
12.72Кб |
| 44. Quantile analysis exercise.html |
12.25Кб |
| 45. M4 L3a 19 Quantiles Academic Research Vs Practitioners V2-AwL7cV2VyhM.en.vtt |
2.38Кб |
| 45. M4 L3a 19 Quantiles Academic Research Vs Practitioners V2-AwL7cV2VyhM.mp4 |
5.47Мб |
| 45. Quantiles Academic Research vs. Practitioners.html |
11.76Кб |
| 46. M4 L3a 20 Transfer Coefficient V3-4rZ0MWQzlIs.en.vtt |
4.40Кб |
| 46. M4 L3a 20 Transfer Coefficient V3-4rZ0MWQzlIs.mp4 |
10.08Мб |
| 46. Transfer Coefficient.html |
11.63Кб |
| 47. Transfer Coefficient Coding Exercise.html |
12.25Кб |
| 48. It’s all Relative.html |
11.59Кб |
| 48. M4 L3a 21 Its All Relative V2-VBcOrT7TuFA.en.vtt |
1.63Кб |
| 48. M4 L3a 21 Its All Relative V2-VBcOrT7TuFA.mp4 |
4.22Мб |
| 48011955.gif |
81.89Кб |
| 48198838.gif |
82.00Кб |
| 48198839.gif |
82.81Кб |
| 48204962.gif |
58.29Кб |
| 48230509.gif |
60.32Кб |
| 48230510.gif |
79.18Кб |
| 48240997.gif |
88.58Кб |
| 48240998.gif |
80.60Кб |
| 48241000.gif |
74.71Кб |
| 48271966.gif |
86.74Кб |
| 48271967.gif |
96.13Кб |
| 48292975.gif |
58.78Кб |
| 48296523.gif |
71.75Кб |
| 48310768.gif |
87.65Кб |
| 48311831.gif |
80.33Кб |
| 48311832.gif |
82.90Кб |
| 48445276.gif |
83.24Кб |
| 48480558.gif |
69.36Кб |
| 48480561.gif |
85.92Кб |
| 48609553.gif |
70.70Кб |
| 48629196.gif |
70.92Кб |
| 48632799.gif |
71.37Кб |
| 48632800.gif |
47.62Кб |
| 48632846.gif |
60.60Кб |
| 48632848.gif |
79.80Кб |
| 48635652.gif |
58.13Кб |
| 48641639.gif |
83.13Кб |
| 48646780.gif |
83.92Кб |
| 48652467.gif |
72.79Кб |
| 48658976.gif |
80.19Кб |
| 48665990.gif |
309.25Кб |
| 48667978.gif |
84.52Кб |
| 48667979.gif |
70.38Кб |
| 48667981.gif |
52.53Кб |
| 48678737.gif |
77.74Кб |
| 48678758.gif |
73.58Кб |
| 48680638.gif |
68.34Кб |
| 48683704.gif |
70.66Кб |
| 48684686.gif |
91.62Кб |
| 48684742.gif |
57.16Кб |
| 48686674.gif |
75.75Кб |
| 48687733.gif |
71.92Кб |
| 48687795.gif |
57.33Кб |
| 48688787.gif |
82.40Кб |
| 48688828.gif |
57.96Кб |
| 48692636.gif |
74.24Кб |
| 48692663.gif |
70.63Кб |
| 48692666.gif |
59.53Кб |
| 48693692.gif |
58.52Кб |
| 48695597.gif |
63.29Кб |
| 48697566.gif |
71.26Кб |
| 48698525.gif |
89.16Кб |
| 48698526.gif |
90.98Кб |
| 48698583.gif |
61.09Кб |
| 48698595.gif |
53.00Кб |
| 48699581.gif |
55.22Кб |
| 48704300.gif |
80.67Кб |
| 48709280.gif |
73.94Кб |
| 48713571.gif |
1011.65Кб |
| 48716247.gif |
62.80Кб |
| 48716288.gif |
59.35Кб |
| 48716290.gif |
84.79Кб |
| 48720246.gif |
55.25Кб |
| 48721292.gif |
90.54Кб |
| 48721315.gif |
73.74Кб |
| 48725208.gif |
68.86Кб |
| 48726280.gif |
84.66Кб |
| 48728202.gif |
92.14Кб |
| 48729170.gif |
54.43Кб |
| 48734186.gif |
68.36Кб |
| 48734324.gif |
90.86Кб |
| 48736116.gif |
267.40Кб |
| 48737119.gif |
77.14Кб |
| 48738100.gif |
61.08Кб |
| 48738115.gif |
47.54Кб |
| 48739104.gif |
63.85Кб |
| 48739228.gif |
83.99Кб |
| 48741058.gif |
56.01Кб |
| 48741083.gif |
82.16Кб |
| 48741099.gif |
52.38Кб |
| 48742066.gif |
56.40Кб |
| 48743074.gif |
87.07Кб |
| 48745039.gif |
291.24Кб |
| 48746014.gif |
72.67Кб |
| 48746015.gif |
57.96Кб |
| 48750006.gif |
58.62Кб |
| 48750011.gif |
82.00Кб |
| 48750031.gif |
78.60Кб |
| 48752009.gif |
82.38Кб |
| 49. Conditional Factors.html |
11.59Кб |
| 49. M4 L3a 22 Conditional Factors V2-2J1aUwGq6tc.en.vtt |
5.02Кб |
| 49. M4 L3a 22 Conditional Factors V2-2J1aUwGq6tc.mp4 |
9.17Мб |
| 50. M4 L3a 23 Summary V3-FZYqdaqoiZk.en.vtt |
4.69Кб |
| 50. M4 L3a 23 Summary V3-FZYqdaqoiZk.mp4 |
12.98Мб |
| 50. Summary.html |
11.56Кб |
| 51. Interlude Reading Academic Research Papers, Part 1.html |
11.71Кб |
| 51. M4 L3a 25 Interlude Pt 1 V2-SMQwc5kwSr0.en.vtt |
3.76Кб |
| 51. M4 L3a 25 Interlude Pt 1 V2-SMQwc5kwSr0.mp4 |
9.26Мб |
| 52. Interlude Reading Academic Research Papers, Part 2.html |
11.71Кб |
| 52. M4 L3a 26 Interlude Pt 2 V2-1a60RPqhO8k.en.vtt |
5.65Кб |
| 52. M4 L3a 26 Interlude Pt 2 V2-1a60RPqhO8k.mp4 |
14.72Мб |
| 53. Interlude Reading Academic Research Papers, Part 3.html |
11.56Кб |
| 53. M4 L3a 27 Interlude Pt 3 V2-v6cLkoJhujU.en.vtt |
5.69Кб |
| 53. M4 L3a 27 Interlude Pt 3 V2-v6cLkoJhujU.mp4 |
14.80Мб |
| 6485174133.gif |
458.07Кб |
| 6499079068.gif |
445.94Кб |
| 6509638772.gif |
711.08Кб |
| 6551597473.gif |
444.36Кб |
| aapl-adj-close.jpeg |
39.91Кб |
| aapl-returns-log-returns.jpeg |
90.07Кб |
| accuracy-quiz.png |
105.85Кб |
| and-quiz.png |
265.78Кб |
| and-quiz.png |
265.78Кб |
| and-to-or.png |
606.14Кб |
| and-to-or.png |
606.14Кб |
| arpan-100x1002x.png |
57.16Кб |
| arpan-happy-emoji.png |
1.62Мб |
| arpan-happy-features.png |
1.58Мб |
| arpan-happy-results.png |
1.62Мб |
| arpan-shocked.png |
1.38Мб |
| batch-stochastic.png |
196.92Кб |
| bootstrap.min.css |
137.64Кб |
| bootstrap.min.js |
49.85Кб |
| brok-bucholtz-thumbnail.jpg |
13.05Кб |
| cezanne-camacho.jpg |
9.16Кб |
| cezanne-head.jpg |
59.53Кб |
| circle-data.png |
49.91Кб |
| codecogseqn-43.gif |
7.96Кб |
| codecogseqn-43.gif |
7.96Кб |
| codecogseqn-49.gif |
2.09Кб |
| codecogseqn-49.gif |
2.09Кб |
| codecogseqn-58.gif |
919б |
| codecogseqn-58.gif |
919б |
| codecogseqn-60-2.png |
8.94Кб |
| codecogseqn-60-2.png |
8.94Кб |
| codecogseqn-61.gif |
2.07Кб |
| codecogseqn-62.gif |
1.31Кб |
| command+palette.mp4 |
169.16Кб |
| complexity.png |
95.64Кб |
| conda-environments.png |
40.09Кб |
| conda-tab.png |
109.92Кб |
| confusion.png |
188.85Кб |
| cp1a9390.jpg |
63.65Кб |
| cvxpy-example.jpeg |
56.26Кб |
| cvxpy-visual.jpeg |
41.38Кб |
| dancing-beemo.gif |
318.16Кб |
| decision-trees-review-quiz.jpg |
62.25Кб |
| depth.png |
66.38Кб |
| distributions.png |
110.42Кб |
| e.gif |
1.18Кб |
| eddy-100x1002x.png |
69.54Кб |
| email.png |
148.53Кб |
| example-finance-tree.png |
209.85Кб |
| f1.gif |
2.01Кб |
| f2.gif |
1.88Кб |
| f4.gif |
1.13Кб |
| f6.gif |
1.60Кб |
| factor-cov.png |
112.91Кб |
| factor-var.png |
92.70Кб |
| feb-26-2019-16-19-56.gif |
6.33Мб |
| generate-messages-output.png |
310.53Кб |
| gif-1.gif |
1.03Кб |
| github-issues.png |
336.83Кб |
| grant.png |
569.90Кб |
| graphviz-example.png |
19.58Кб |
| histogram-nonnormal.png |
35.31Кб |
| house.png |
491.52Кб |
| image4.png |
436.47Кб |
| image8.png |
228.06Кб |
| img-4646.jpg |
27.12Кб |
| index.html |
4.96Кб |
| index.html |
4.30Кб |
| index.html |
4.15Кб |
| index.html |
4.25Кб |
| index.html |
4.78Кб |
| index.html |
327.93Кб |
| index.html |
5.17Кб |
| index.html |
4.49Кб |
| index.html |
5.28Кб |
| index.html |
4.65Кб |
| index.html |
4.40Кб |
| index.html |
4.93Кб |
| index.html |
5.47Кб |
| index.html |
4.73Кб |
| index.html |
5.14Кб |
| index.html |
5.20Кб |
| index.html |
4.68Кб |
| index.html |
6.13Кб |
| index.html |
4.92Кб |
| index.html |
5.35Кб |
| index.html |
5.16Кб |
| index.html |
4.67Кб |
| index.html |
5.06Кб |
| index.html |
6.49Кб |
| index.html |
5.77Кб |
| index.html |
5.40Кб |
| index.html |
5.57Кб |
| index.html |
9.23Кб |
| index.html |
7.08Кб |
| index.html |
5.54Кб |
| index.html |
4.60Кб |
| index.html |
4.42Кб |
| index.html |
4.85Кб |
| index.html |
4.99Кб |
| index.html |
4.66Кб |
| index.html |
6.04Кб |
| index.html |
4.73Кб |
| index.html |
4.57Кб |
| index.html |
6.98Кб |
| index.html |
5.23Кб |
| index.html |
6.32Кб |
| index.html |
5.63Кб |
| index.html |
5.41Кб |
| index.html |
5.21Кб |
| index.html |
4.56Кб |
| index.html |
4.43Кб |
| index.html |
6.10Кб |
| index.html |
5.79Кб |
| index.html |
5.00Кб |
| index.html |
4.78Кб |
| index.html |
4.60Кб |
| index.html |
5.28Кб |
| index.html |
4.54Кб |
| index.html |
5.46Кб |
| index.html |
5.87Кб |
| index.html |
4.82Кб |
| index.html |
5.32Кб |
| index.html |
4.73Кб |
| index.html |
4.44Кб |
| index.html |
4.33Кб |
| index.html |
7.57Кб |
| index.html |
7.02Кб |
| index.html |
5.61Кб |
| index.html |
6.62Кб |
| index.html |
4.56Кб |
| index.html |
5.09Кб |
| index.html |
4.76Кб |
| index.html |
5.29Кб |
| index.html |
4.93Кб |
| index.html |
5.40Кб |
| index.html |
5.31Кб |
| index.html |
6.87Кб |
| index.html |
7.58Кб |
| index.html |
5.04Кб |
| index.html |
5.34Кб |
| index.html |
5.13Кб |
| index.html |
5.18Кб |
| index.html |
6.76Кб |
| index.html |
4.71Кб |
| index.html |
5.00Кб |
| index.html |
7.36Кб |
| index.html |
6.15Кб |
| index.html |
7.42Кб |
| index.html |
5.47Кб |
| index.html |
5.86Кб |
| index.html |
5.20Кб |
| index.html |
5.43Кб |
| index.html |
5.59Кб |
| index.html |
6.40Кб |
| index.html |
6.98Кб |
| index.html |
5.00Кб |
| index.html |
4.86Кб |
| iris-box-plot.png |
15.80Кб |
| jonathan-100x1002x.png |
63.93Кб |
| josh-bernhard.jpg |
28.55Кб |
| jquery.mCustomScrollbar.concat.min.js |
44.42Кб |
| jquery.mCustomScrollbar.min.css |
41.83Кб |
| jquery-3.3.1.min.js |
84.89Кб |
| juan-delgado-1.jpg |
8.31Кб |
| just-a-2d-reg.png |
68.49Кб |
| just-a-simple-lin-reg.png |
25.95Кб |
| justin-100x1002x.png |
71.79Кб |
| KaTeX_AMS-Regular.ttf |
69.75Кб |
| KaTeX_AMS-Regular.woff |
39.26Кб |
| KaTeX_AMS-Regular.woff2 |
32.43Кб |
| KaTeX_Caligraphic-Bold.ttf |
19.13Кб |
| KaTeX_Caligraphic-Bold.woff |
11.85Кб |
| KaTeX_Caligraphic-Bold.woff2 |
10.35Кб |
| KaTeX_Caligraphic-Regular.ttf |
18.52Кб |
| KaTeX_Caligraphic-Regular.woff |
11.59Кб |
| KaTeX_Caligraphic-Regular.woff2 |
10.17Кб |
| KaTeX_Fraktur-Bold.ttf |
35.13Кб |
| KaTeX_Fraktur-Bold.woff |
22.84Кб |
| KaTeX_Fraktur-Bold.woff2 |
20.01Кб |
| KaTeX_Fraktur-Regular.ttf |
33.84Кб |
| KaTeX_Fraktur-Regular.woff |
22.31Кб |
| KaTeX_Fraktur-Regular.woff2 |
19.39Кб |
| KaTeX_Main-Bold.ttf |
60.27Кб |
| KaTeX_Main-Bold.woff |
35.89Кб |
| KaTeX_Main-Bold.woff2 |
29.90Кб |
| KaTeX_Main-BoldItalic.ttf |
43.77Кб |
| KaTeX_Main-BoldItalic.woff |
25.61Кб |
| KaTeX_Main-BoldItalic.woff2 |
21.67Кб |
| KaTeX_Main-Italic.ttf |
46.83Кб |
| KaTeX_Main-Italic.woff |
26.56Кб |
| KaTeX_Main-Italic.woff2 |
22.52Кб |
| KaTeX_Main-Regular.ttf |
68.43Кб |
| KaTeX_Main-Regular.woff |
38.52Кб |
| KaTeX_Main-Regular.woff2 |
32.09Кб |
| KaTeX_Math-BoldItalic.ttf |
38.81Кб |
| KaTeX_Math-BoldItalic.woff |
22.65Кб |
| KaTeX_Math-BoldItalic.woff2 |
19.57Кб |
| KaTeX_Math-Italic.ttf |
40.48Кб |
| KaTeX_Math-Italic.woff |
23.26Кб |
| KaTeX_Math-Italic.woff2 |
19.95Кб |
| KaTeX_SansSerif-Bold.ttf |
33.23Кб |
| KaTeX_SansSerif-Bold.woff |
18.72Кб |
| KaTeX_SansSerif-Bold.woff2 |
15.62Кб |
| KaTeX_SansSerif-Italic.ttf |
30.57Кб |
| KaTeX_SansSerif-Italic.woff |
17.70Кб |
| KaTeX_SansSerif-Italic.woff2 |
14.86Кб |
| KaTeX_SansSerif-Regular.ttf |
29.45Кб |
| KaTeX_SansSerif-Regular.woff |
16.39Кб |
| KaTeX_SansSerif-Regular.woff2 |
13.70Кб |
| KaTeX_Script-Regular.ttf |
24.28Кб |
| KaTeX_Script-Regular.woff |
13.53Кб |
| KaTeX_Script-Regular.woff2 |
11.99Кб |
| KaTeX_Size1-Regular.ttf |
12.86Кб |
| KaTeX_Size1-Regular.woff |
6.82Кб |
| KaTeX_Size1-Regular.woff2 |
5.69Кб |
| KaTeX_Size2-Regular.ttf |
12.12Кб |
| KaTeX_Size2-Regular.woff |
6.53Кб |
| KaTeX_Size2-Regular.woff2 |
5.43Кб |
| KaTeX_Size3-Regular.ttf |
8.16Кб |
| KaTeX_Size3-Regular.woff |
4.66Кб |
| KaTeX_Size3-Regular.woff2 |
3.77Кб |
| KaTeX_Size4-Regular.ttf |
11.02Кб |
| KaTeX_Size4-Regular.woff |
6.30Кб |
| KaTeX_Size4-Regular.woff2 |
5.06Кб |
| KaTeX_Typewriter-Regular.ttf |
35.46Кб |
| KaTeX_Typewriter-Regular.woff |
20.43Кб |
| KaTeX_Typewriter-Regular.woff2 |
17.13Кб |
| katex.min.css |
21.56Кб |
| katex.min.js |
231.26Кб |
| l2-norm.jpeg |
51.34Кб |
| learning-curves.png |
109.03Кб |
| lin-reg-no-outliers.png |
28.61Кб |
| lin-reg-w-outliers.png |
27.55Кб |
| liz-100x1002x.png |
67.92Кб |
| luis-serrano.jpg |
8.95Кб |
| m.gif |
3.82Кб |
| m4l2a-01-image-v1.png |
157.09Кб |
| magic-matplotlib.png |
90.72Кб |
| magic-pdb.png |
68.61Кб |
| magic-timeit.png |
157.29Кб |
| magic-timeit2.png |
56.11Кб |
| Markdown+cells.mp4 |
330.36Кб |
| mat-headshot.png |
179.99Кб |
| mat-headshot.png |
179.99Кб |
| mat-leonard.jpg |
7.81Кб |
| mat-leonard-circle.png |
384.91Кб |
| medical.png |
186.53Кб |
| meme.png |
209.05Кб |
| meme.png |
209.05Кб |
| meme.png |
209.05Кб |
| meme.png |
209.05Кб |
| meme.png |
209.05Кб |
| meme.png |
209.05Кб |
| meme.png |
209.05Кб |
| meme.png |
209.05Кб |
| minibatch.png |
136.77Кб |
| min-samples-leaf.png |
110.70Кб |
| min-samples-split.png |
81.16Кб |
| min-samples-split.png |
81.16Кб |
| models.png |
627.96Кб |
| momentum-quiz.jpeg |
19.76Кб |
| nbconvert-example.png |
73.30Кб |
| new-notebook.png |
101.77Кб |
| notebook+interface.mp4 |
215.47Кб |
| notebook-components.png |
30.25Кб |
| notebook-download.png |
79.54Кб |
| notebook-json.png |
95.29Кб |
| notebook-server.png |
103.33Кб |
| notebook-shutdown.png |
62.35Кб |
| numerical-stability-example.jpg |
25.10Кб |
| or-quiz.png |
393.62Кб |
| or-quiz.png |
393.62Кб |
| parnian-barekatain.jpg |
209.57Кб |
| perceptronquiz.png |
93.69Кб |
| perceptronquiz.png |
93.69Кб |
| plyr.css |
23.62Кб |
| plyr.polyfilled.min.js |
126.16Кб |
| points.png |
63.17Кб |
| points.png |
63.17Кб |
| precision-quiz.png |
250.81Кб |
| profile-pics.jpg |
595.62Кб |
| profiles-view.png |
223.53Кб |
| Project Description - Backtesting.html |
5.23Кб |
| Project Description - Breakout Strategy.html |
5.52Кб |
| Project Description - Combining Signals for Enhanced Alpha.html |
5.33Кб |
| Project Description - Improve Your LinkedIn Profile.html |
8.04Кб |
| Project Description - Multi-factor Model.html |
5.38Кб |
| Project Description - NLP on Financial Statements.html |
5.37Кб |
| Project Description - Optimize Your GitHub Profile.html |
10.11Кб |
| Project Description - Sentiment Analysis with Neural Networks.html |
5.34Кб |
| Project Description - Smart Beta and Portfolio Optimization.html |
5.51Кб |
| Project Description - Trading with Momentum.html |
5.47Кб |
| Project Rubric - Backtesting.html |
14.71Кб |
| Project Rubric - Breakout Strategy.html |
8.61Кб |
| Project Rubric - Combining Signals for Enhanced Alpha.html |
8.43Кб |
| Project Rubric - Improve Your LinkedIn Profile.html |
16.34Кб |
| Project Rubric - Multi-factor Model.html |
10.46Кб |
| Project Rubric - NLP on Financial Statements.html |
7.88Кб |
| Project Rubric - Optimize Your GitHub Profile.html |
9.85Кб |
| Project Rubric - Sentiment Analysis with Neural Networks.html |
10.40Кб |
| Project Rubric - Smart Beta and Portfolio Optimization.html |
8.39Кб |
| Project Rubric - Trading with Momentum.html |
8.07Кб |
| pythagorean-theroem.jpeg |
45.72Кб |
| quadraticlinearregression.png |
23.56Кб |
| quiz.jpg |
174.18Кб |
| README.txt |
454б |
| recall-quiz.png |
228.26Кб |
| recommending-apps.png |
140.56Кб |
| recommending-apps.png |
140.56Кб |
| redacted-linkedinresults.png |
230.77Кб |
| regularization-quiz.png |
87.90Кб |
| rf-for-alpha-combination.png |
88.74Кб |
| ritter-gordon.jpg |
12.47Кб |
| row-column-example-dataset.png |
539.20Кб |
| screen-shot-2017-03-13-at-12.36.54-pm.png |
193.00Кб |
| screen-shot-2017-03-17-at-4.03.20-pm.png |
451.90Кб |
| screen-shot-2017-03-17-at-5.09.53-pm.png |
1.62Мб |
| screen-shot-2017-03-17-at-5.12.46-pm.png |
305.85Кб |
| screen-shot-2017-03-17-at-5.18.10-pm.png |
1.27Мб |
| screen-shot-2017-03-17-at-5.20.52-pm.png |
821.42Кб |
| screen-shot-2017-03-17-at-5.25.16-pm.png |
979.06Кб |
| screen-shot-2017-06-26-at-2.11.18-pm.png |
70.26Кб |
| screen-shot-2017-06-26-at-3.47.37-pm.png |
77.21Кб |
| screen-shot-2017-08-02-at-11.40.37-am.png |
108.23Кб |
| screen-shot-2017-08-02-at-11.49.10-am.png |
120.26Кб |
| screen-shot-2017-08-02-at-4.57.01-pm.png |
84.00Кб |
| screen-shot-2017-11-06-at-1.14.05-pm.png |
15.64Кб |
| screen-shot-2017-11-07-at-2.16.14-pm.png |
78.33Кб |
| screen-shot-2017-11-07-at-2.17.08-pm.png |
882.60Кб |
| screen-shot-2017-11-07-at-2.18.27-pm.png |
832.02Кб |
| screen-shot-2017-11-16-at-4.26.22-pm.png |
41.24Кб |
| screen-shot-2017-11-16-at-4.27.58-pm.png |
27.77Кб |
| screen-shot-2017-11-16-at-4.31.41-pm.png |
44.91Кб |
| screen-shot-2018-01-06-at-8.13.20-pm.png |
50.77Кб |
| screen-shot-2018-01-06-at-8.13.20-pm.png |
50.77Кб |
| screen-shot-2018-01-06-at-9.30.27-pm.png |
66.38Кб |
| screen-shot-2018-01-06-at-9.41.01-pm.png |
110.70Кб |
| screen-shot-2018-01-19-at-1.05.48-pm.png |
279.73Кб |
| screen-shot-2018-01-19-at-1.14.23-pm.png |
358.59Кб |
| screen-shot-2018-01-19-at-1.57.42-pm.png |
114.23Кб |
| screen-shot-2018-01-19-at-1.58.00-pm.png |
126.03Кб |
| screen-shot-2018-01-19-at-2.24.21-pm.png |
218.72Кб |
| screen-shot-2018-01-19-at-2.28.03-pm.png |
90.71Кб |
| screen-shot-2018-01-23-at-10.49.16-am.png |
42.36Кб |
| screen-shot-2018-01-23-at-11.30.13-am.png |
92.79Кб |
| screen-shot-2018-01-24-at-12.03.45-am.png |
170.85Кб |
| screen-shot-2018-01-24-at-2.27.07-pm.png |
113.18Кб |
| screen-shot-2018-01-24-at-3.13.49-pm.png |
204.57Кб |
| screen-shot-2018-01-26-at-10.16.48-pm.png |
44.48Кб |
| screen-shot-2018-01-26-at-11.05.49-pm.png |
323.90Кб |
| screen-shot-2018-01-26-at-11.16.45-pm.png |
44.43Кб |
| screen-shot-2018-01-26-at-11.21.42-pm.png |
44.22Кб |
| screen-shot-2018-01-26-at-11.48.02-pm.png |
43.35Кб |
| screen-shot-2018-01-29-at-11.49.47-am.png |
65.43Кб |
| screen-shot-2018-01-29-at-11.51.35-am.png |
84.25Кб |
| screen-shot-2018-01-30-at-4.39.42-pm.png |
95.46Кб |
| screen-shot-2018-01-30-at-5.14.39-pm.png |
220.32Кб |
| screen-shot-2018-02-01-at-12.10.40-am.png |
47.51Кб |
| screen-shot-2018-02-10-at-8.59.39-pm.png |
314.45Кб |
| screen-shot-2018-02-10-at-9.00.30-pm.png |
295.89Кб |
| screen-shot-2018-02-14-at-10.47.52-am.png |
51.49Кб |
| screen-shot-2018-02-14-at-3.59.39-pm.png |
102.91Кб |
| screen-shot-2018-02-14-at-6.07.26-pm.png |
117.44Кб |
| screen-shot-2018-02-21-at-6.41.35-pm.png |
18.77Кб |
| screen-shot-2018-02-23-at-5.00.25-pm.png |
754.27Кб |
| screen-shot-2018-02-23-at-5.11.40-pm.png |
200.67Кб |
| screen-shot-2018-03-19-at-2.30.59-pm.png |
507.42Кб |
| screen-shot-2018-03-19-at-2.30.59-pm.png |
507.42Кб |
| screen-shot-2018-03-19-at-2.30.59-pm.png |
507.42Кб |
| screen-shot-2018-03-19-at-2.49.57-pm.png |
442.46Кб |
| screen-shot-2018-03-19-at-3.21.24-pm.png |
339.90Кб |
| screen-shot-2018-03-19-at-3.21.24-pm.png |
339.90Кб |
| screen-shot-2018-03-19-at-3.49.28-pm.png |
471.61Кб |
| screen-shot-2018-03-19-at-3.49.28-pm.png |
471.61Кб |
| screen-shot-2018-03-19-at-3.49.28-pm.png |
471.61Кб |
| screen-shot-2018-03-21-at-2.40.42-pm.png |
48.54Кб |
| screen-shot-2018-03-28-at-4.44.34-pm.png |
30.76Кб |
| screen-shot-2018-03-28-at-4.52.09-pm.png |
9.29Кб |
| screen-shot-2018-03-28-at-5.11.09-pm.png |
32.06Кб |
| screen-shot-2018-03-28-at-5.15.59-pm.png |
32.15Кб |
| screen-shot-2018-04-02-at-4.25.41-pm.png |
97.56Кб |
| screen-shot-2018-04-19-at-1.17.37-pm.png |
142.44Кб |
| screen-shot-2018-04-20-at-3.04.04-pm.png |
58.47Кб |
| screen-shot-2018-04-23-at-4.05.20-pm.png |
289.67Кб |
| screen-shot-2018-04-23-at-4.10.20-pm.png |
716.56Кб |
| screen-shot-2018-04-23-at-4.14.19-pm.png |
395.38Кб |
| screen-shot-2018-05-11-at-11.03.34-am.png |
150.98Кб |
| screen-shot-2018-05-22-at-12.25.34-pm.png |
6.09Кб |
| screen-shot-2018-05-22-at-12.25.34-pm.png |
6.09Кб |
| screen-shot-2018-05-22-at-12.27.22-pm.png |
4.20Кб |
| screen-shot-2018-05-22-at-12.27.22-pm.png |
4.20Кб |
| screen-shot-2018-05-22-at-12.27.55-pm.png |
4.28Кб |
| screen-shot-2018-05-22-at-12.27.55-pm.png |
4.28Кб |
| screen-shot-2018-05-26-at-3.22.39-pm.png |
346.74Кб |
| screen-shot-2018-05-26-at-3.37.30-pm.png |
192.09Кб |
| screen-shot-2018-05-26-at-3.45.03-pm.png |
351.54Кб |
| screen-shot-2018-05-26-at-3.51.18-pm.png |
198.22Кб |
| screen-shot-2018-05-26-at-4.04.18-pm.png |
111.86Кб |
| screen-shot-2018-05-26-at-4.05.55-pm.png |
104.63Кб |
| screen-shot-2018-05-26-at-4.06.03-pm.png |
109.97Кб |
| screen-shot-2018-05-26-at-4.15.46-pm.png |
113.47Кб |
| screen-shot-2018-05-26-at-4.29.49-pm.png |
160.71Кб |
| screen-shot-2018-05-26-at-4.32.19-pm.png |
152.53Кб |
| screen-shot-2018-05-26-at-4.37.05-pm.png |
126.82Кб |
| screen-shot-2018-05-26-at-4.51.08-pm.png |
313.39Кб |
| screen-shot-2018-05-26-at-5.00.26-pm.png |
135.65Кб |
| screen-shot-2018-08-20-at-4.07.31-pm.png |
282.00Кб |
| screen-shot-2018-09-10-at-7.38.39-pm.png |
296.26Кб |
| screen-shot-2018-09-10-at-7.38.39-pm.png |
296.26Кб |
| screen-shot-2018-09-21-at-11.36.43-am.png |
1.67Мб |
| screen-shot-2018-09-21-at-12.02.03-pm.png |
56.19Кб |
| screen-shot-2018-10-15-at-8.35.15-pm.png |
119.96Кб |
| screen-shot-2018-10-29-at-11.08.44-pm.png |
164.90Кб |
| screen-shot-2018-10-29-at-2.28.21-pm.png |
140.95Кб |
| screen-shot-2018-10-29-at-2.30.49-pm.png |
75.09Кб |
| screen-shot-2018-10-29-at-2.34.00-pm.png |
52.35Кб |
| screen-shot-2018-10-29-at-2.34.18-pm.png |
82.52Кб |
| screen-shot-2018-10-29-at-2.42.15-pm.png |
145.49Кб |
| screen-shot-2018-10-29-at-2.47.08-pm.png |
126.78Кб |
| screen-shot-2018-10-29-at-2.48.16-pm.png |
157.95Кб |
| screen-shot-2018-10-29-at-2.48.34-pm.png |
99.98Кб |
| screen-shot-2018-10-29-at-2.51.35-pm.png |
157.69Кб |
| screen-shot-2018-10-29-at-2.59.42-pm.png |
192.43Кб |
| screen-shot-2018-10-29-at-3.04.01-pm.png |
217.46Кб |
| screen-shot-2018-10-29-at-3.23.22-pm.png |
99.99Кб |
| screen-shot-2018-10-29-at-3.28.20-pm.png |
65.29Кб |
| screen-shot-2018-10-29-at-3.36.06-pm.png |
119.81Кб |
| screen-shot-2018-10-29-at-3.55.55-pm.png |
93.60Кб |
| screen-shot-2018-10-29-at-4.03.59-pm.png |
125.31Кб |
| screen-shot-2018-10-29-at-4.09.18-pm.png |
47.72Кб |
| screen-shot-2018-10-29-at-4.11.07-pm.png |
66.87Кб |
| screen-shot-2018-10-29-at-4.12.27-pm.png |
83.39Кб |
| screen-shot-2018-10-29-at-4.20.49-pm.png |
106.27Кб |
| screen-shot-2018-10-29-at-4.27.07-pm.png |
124.97Кб |
| screen-shot-2018-10-29-at-4.34.30-pm.png |
71.37Кб |
| screen-shot-2018-10-29-at-4.37.50-pm.png |
105.28Кб |
| screen-shot-2018-10-29-at-5.27.30-pm.png |
102.98Кб |
| screen-shot-2018-10-29-at-5.29.38-pm.png |
104.85Кб |
| screen-shot-2018-10-29-at-5.35.49-pm.png |
255.40Кб |
| screen-shot-2018-10-29-at-5.40.03-pm.png |
389.40Кб |
| screen-shot-2018-11-05-at-11.33.57-am.png |
153.88Кб |
| screen-shot-2018-11-06-at-2.30.04-pm.png |
75.93Кб |
| screen-shot-2018-11-06-at-2.48.40-pm.png |
58.05Кб |
| screen-shot-2018-11-07-at-10.23.07-pm.png |
366.06Кб |
| screen-shot-2018-11-07-at-9.55.40-pm.png |
222.17Кб |
| screen-shot-2018-11-07-at-9.59.16-pm.png |
529.19Кб |
| screen-shot-2018-11-09-at-6.28.07-pm.png |
299.96Кб |
| screen-shot-2018-11-09-at-7.38.47-pm.png |
110.58Кб |
| screen-shot-2018-11-09-at-7.48.22-pm.png |
1.57Мб |
| screen-shot-2018-11-09-at-7.49.34-pm.png |
238.98Кб |
| screen-shot-2018-11-09-at-7.49.50-pm.png |
375.54Кб |
| screen-shot-2018-11-19-at-11.32.05-am.png |
521.11Кб |
| screen-shot-2018-12-12-at-12.49.37-pm.png |
146.65Кб |
| screen-shot-2018-12-21-at-1.54.06-pm.png |
898.85Кб |
| screen-shot-2019-02-26-at-4.09.24-pm.png |
104.90Кб |
| screen-shot-2019-02-26-at-4.25.04-pm.png |
20.85Кб |
| screen-shot-2019-03-18-at-1.09.46-pm.png |
55.80Кб |
| screen-shot-2019-03-18-at-1.09.56-pm.png |
69.02Кб |
| screen-shot-2019-03-18-at-1.10.03-pm.png |
73.41Кб |
| screen-shot-2019-03-18-at-1.14.37-pm.png |
54.04Кб |
| screen-shot-2019-03-18-at-1.14.44-pm.png |
55.53Кб |
| screen-shot-2019-03-18-at-1.14.51-pm.png |
32.71Кб |
| screen-shot-2019-03-18-at-1.16.33-pm.png |
59.11Кб |
| screen-shot-2019-03-18-at-1.18.17-pm.png |
59.59Кб |
| screen-shot-2019-03-18-at-12.54.43-pm.png |
64.78Кб |
| screen-shot-2019-03-18-at-12.55.32-pm.png |
106.68Кб |
| screen-shot-2019-03-18-at-12.55.43-pm.png |
114.95Кб |
| screen-shot-2019-03-18-at-12.56.03-pm.png |
58.67Кб |
| sebastian-katie-jay.png |
779.77Кб |
| server-shutdown.png |
155.42Кб |
| sigmoid-derivative.gif |
2.09Кб |
| sigmoid-derivative.gif |
2.09Кб |
| slides-cell-toolbar-menu.png |
61.36Кб |
| slides-choose-slide-type.png |
53.31Кб |
| sml-chart.png |
10.78Кб |
| spam.png |
67.76Кб |
| spamham.png |
135.09Кб |
| speaking.png |
17.08Кб |
| step1-cd.png |
14.68Кб |
| step2-pwd.png |
16.39Кб |
| step3-path.png |
20.76Кб |
| step4-alias.png |
17.86Кб |
| step5-source.png |
15.24Кб |
| step6-testrun.png |
43.44Кб |
| stop-sign-classification.png |
211.50Кб |
| student-data.png |
91.85Кб |
| student-data.png |
91.85Кб |
| student-quiz.png |
748.98Кб |
| student-quiz.png |
748.98Кб |
| styles.css |
4.02Кб |
| table.png |
192.08Кб |
| table.png |
192.08Кб |
| talent-program.png |
336.13Кб |
| tcost-1.png |
60.87Кб |
| tcost-2.png |
68.58Кб |
| tcost-3.png |
54.69Кб |
| time-series-validation-2.png |
17.65Кб |
| tocst-4.png |
62.21Кб |
| train-valid-test-time-2.png |
7.50Кб |
| tree-anatomy-annotated.png |
78.99Кб |
| tree-example.png |
14.29Кб |
| trees.png |
300.00Кб |
| trees.png |
300.00Кб |
| two-asset-variance.jpeg |
55.78Кб |
| udacimak.png |
461.07Кб |
| unnamed-project-desc-0.gif |
94.58Кб |
| unnamed-project-desc-1.gif |
19.15Кб |
| var-diagram.jpg |
77.34Кб |
| variance-decomp-1.png |
74.31Кб |
| variance-decomp-2.png |
115.22Кб |
| xor.png |
214.95Кб |
| xor.png |
214.95Кб |
| xor-quiz.png |
94.14Кб |
| xor-quiz.png |
94.14Кб |
| y.gif |
1.41Кб |