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Название Бесконтрольные (Unsupervised Machine Learning Hidden Markov Models in Python)
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1. (Review) Gaussian Mixture Models.mp4 4.99Мб
1. (Review) Gaussian Mixture Models.srt 3.67Кб
1. Example Problem Sick or Healthy.mp4 5.54Мб
1. Example Problem Sick or Healthy.srt 4.82Кб
1. From Markov Models to Hidden Markov Models.mp4 10.17Мб
1. From Markov Models to Hidden Markov Models.srt 8.78Кб
1. Gaussian Mixture Models with Hidden Markov Models.mp4 16.46Мб
1. Gaussian Mixture Models with Hidden Markov Models.srt 5.17Кб
1. Generative vs. Discriminative Classifiers.mp4 4.12Мб
1. Generative vs. Discriminative Classifiers.srt 3.60Кб
1. Gradient Descent Tutorial.mp4 22.82Мб
1. Gradient Descent Tutorial.srt 5.50Кб
1. How to Code by Yourself (part 1).mp4 24.54Мб
1. How to Code by Yourself (part 1).srt 22.75Кб
1. How to Succeed in this Course (Long Version).mp4 18.31Мб
1. How to Succeed in this Course (Long Version).srt 14.55Кб
1. Introduction and Outline Why would you want to use an HMM.mp4 6.78Мб
1. Introduction and Outline Why would you want to use an HMM.srt 5.99Кб
1. Parts-of-Speech Tagging Concepts.mp4 8.51Мб
1. Parts-of-Speech Tagging Concepts.srt 7.04Кб
1. The Markov Property.mp4 24.06Мб
1. The Markov Property.srt 6.63Кб
1. What is the Appendix.mp4 5.45Мб
1. What is the Appendix.srt 3.72Кб
1. Windows-Focused Environment Setup 2018.mp4 186.33Мб
1. Windows-Focused Environment Setup 2018.srt 20.10Кб
10. HMM Training (part 1).mp4 20.60Мб
10. HMM Training (part 1).srt 5.67Кб
11. HMM Training (part 2).mp4 39.98Мб
11. HMM Training (part 2).srt 11.74Кб
12. HMM Training (part 3).mp4 60.15Мб
12. HMM Training (part 3).srt 15.77Кб
13. HMM Training (part 4).mp4 55.56Мб
13. HMM Training (part 4).srt 14.19Кб
14. How to Choose the Number of Hidden States.mp4 33.86Мб
14. How to Choose the Number of Hidden States.srt 9.28Кб
15. Baum-Welch Updates for Multiple Observations.mp4 7.48Мб
15. Baum-Welch Updates for Multiple Observations.srt 5.91Кб
16. Discrete HMM in Code.mp4 47.42Мб
16. Discrete HMM in Code.srt 15.40Кб
17. The underflow problem and how to solve it.mp4 7.65Мб
17. The underflow problem and how to solve it.srt 6.42Кб
18. Discrete HMM Updates in Code with Scaling.mp4 29.14Мб
18. Discrete HMM Updates in Code with Scaling.srt 8.97Кб
19. Scaled Viterbi Algorithm in Log Space.mp4 9.23Мб
19. Scaled Viterbi Algorithm in Log Space.srt 2.75Кб
2. (Review) Theano Tutorial.mp4 19.86Мб
2. (Review) Theano Tutorial.srt 7.93Кб
2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 37.83Мб
2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 7.87Кб
2. Example Problem Expected number of continuously sick days.mp4 4.63Мб
2. Example Problem Expected number of continuously sick days.srt 3.71Кб
2. Generating Data from a Real-Valued HMM.mp4 14.94Мб
2. Generating Data from a Real-Valued HMM.srt 4.57Кб
2. HMM - Basic Examples.mp4 42.35Мб
2. HMM - Basic Examples.srt 10.08Кб
2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 24.39Мб
2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt 8.76Кб
2. How to Code by Yourself (part 2).mp4 14.80Мб
2. How to Code by Yourself (part 2).srt 13.26Кб
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92Мб
2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.48Кб
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.95Мб
2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 31.79Кб
2. Markov Models.mp4 32.47Мб
2. Markov Models.srt 8.73Кб
2. POS Tagging with an HMM.mp4 14.38Мб
2. POS Tagging with an HMM.srt 5.16Кб
2. Theano Scan Tutorial.mp4 23.76Мб
2. Theano Scan Tutorial.srt 12.75Кб
2. Unsupervised or Supervised.mp4 5.28Мб
2. Unsupervised or Supervised.srt 4.03Кб
3. (Review) Tensorflow Tutorial.mp4 13.88Мб
3. (Review) Tensorflow Tutorial.srt 5.92Кб
3.1 Github Link.html 120б
3. Continuous-Observation HMM in Code (part 1).mp4 46.69Мб
3. Continuous-Observation HMM in Code (part 1).srt 13.06Кб
3. Discrete HMM in Theano.mp4 30.74Мб
3. Discrete HMM in Theano.srt 8.41Кб
3. Example application SEO and Bounce Rate Optimization.mp4 15.82Мб
3. Example application SEO and Bounce Rate Optimization.srt 10.64Кб
3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 29.32Мб
3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt 16.03Кб
3. Parameters of an HMM.mp4 31.32Мб
3. Parameters of an HMM.srt 8.97Кб
3. Proof that using Jupyter Notebook is the same as not using it.mp4 78.27Мб
3. Proof that using Jupyter Notebook is the same as not using it.srt 14.12Кб
3. The Math of Markov Chains.mp4 23.94Мб
3. The Math of Markov Chains.srt 6.81Кб
3. Where to get the Code and Data.mp4 2.09Мб
3. Where to get the Code and Data.srt 1.71Кб
4. Anyone Can Succeed in this Course.mp4 77.88Мб
4. Anyone Can Succeed in this Course.srt 17.10Кб
4. Continuous-Observation HMM in Code (part 2).mp4 15.28Мб
4. Continuous-Observation HMM in Code (part 2).srt 3.35Кб
4. Example Application Build a 2nd-order language model and generate phrases.mp4 26.93Мб
4. Example Application Build a 2nd-order language model and generate phrases.srt 13.91Кб
4. Improving our Gradient Descent-Based HMM.mp4 25.95Мб
4. Improving our Gradient Descent-Based HMM.srt 6.36Кб
4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 37.62Мб
4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt 23.04Кб
4. Python 2 vs Python 3.mp4 7.83Мб
4. Python 2 vs Python 3.srt 6.10Кб
4. The 3 Problems of an HMM.mp4 28.03Мб
4. The 3 Problems of an HMM.srt 7.54Кб
5. Continuous HMM in Theano.mp4 45.41Мб
5. Continuous HMM in Theano.srt 11.88Кб
5. Example Application Google’s PageRank algorithm.mp4 8.72Мб
5. Example Application Google’s PageRank algorithm.srt 7.28Кб
5. Tensorflow Scan Tutorial.mp4 23.07Мб
5. Tensorflow Scan Tutorial.srt 14.92Кб
5. The Forward-Backward Algorithm (part 1).mp4 65.13Мб
5. The Forward-Backward Algorithm (part 1).srt 20.17Кб
6. Continuous HMM in Tensorflow.mp4 22.45Мб
6. Continuous HMM in Tensorflow.srt 10.85Кб
6. Discrete HMM in Tensorflow.mp4 16.44Мб
6. Discrete HMM in Tensorflow.srt 8.89Кб
6. Suggestion Box.mp4 16.12Мб
6. Suggestion Box.srt 4.70Кб
6. The Forward-Backward Algorithm (part 2).mp4 27.56Мб
6. The Forward-Backward Algorithm (part 2).srt 8.20Кб
7. The Forward-Backward Algorithm (part 3).mp4 25.97Мб
7. The Forward-Backward Algorithm (part 3).srt 9.20Кб
8. The Viterbi Algorithm (part 1).mp4 27.55Мб
8. The Viterbi Algorithm (part 1).srt 7.40Кб
9. The Viterbi Algorithm (part 2).mp4 59.34Мб
9. The Viterbi Algorithm (part 2).srt 17.62Кб
TutsNode.com.txt 63б
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