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| 0. (1Hack.Us) Premium Tutorials-Guides-Articles _ Community based Forum.url |
377б |
| 001 Course Introduction.mp4 |
24.84Мб |
| 001 Good Luck.mp4 |
7.58Мб |
| 001 Introduction.mp4 |
5.57Мб |
| 001 Introduction.mp4 |
1.60Мб |
| 001 Introduction.mp4 |
1.62Мб |
| 001 Introduction.mp4 |
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| 001 Introduction.mp4 |
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| 001 Introduction.mp4 |
2.47Мб |
| 001 Introduction.mp4 |
1.61Мб |
| 001 Introduction.mp4 |
2.87Мб |
| 002 About The Exam.mp4 |
23.22Мб |
| 002 AWS Open Data Registry.txt |
31б |
| 002 Concepts.mp4 |
37.07Мб |
| 002 Concepts.mp4 |
33.43Мб |
| 002 Concepts.mp4 |
21.60Мб |
| 002 Concepts.mp4 |
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| 002 Concepts.mp4 |
37.06Мб |
| 002 Concepts.mp4 |
19.20Мб |
| 002 Concepts.mp4 |
43.12Мб |
| 002 Exam Blueprint.pdf |
543.16Кб |
| 002 Gapminder Tool.txt |
33б |
| 002 Googles Big Query.txt |
35б |
| 002 Kaggle.txt |
24б |
| 002 OPTIONAL - Why do we call them Algorithms.mp4 |
49.65Мб |
| 002 UCI Machine Learning Repository.txt |
29б |
| 003 About This Course.mp4 |
30.43Мб |
| 003 AI Developer Services.mp4 |
17.71Мб |
| 003 AWS reInvent 2018 High Performance Data Streaming with Amazon Kinesis Best Practices.txt |
44б |
| 003 Categorical Encoding.mp4 |
32.79Мб |
| 003 Concepts.mp4 |
47.31Мб |
| 003 Data Preparation.mp4 |
27.12Мб |
| 003 General Data Terminology.mp4 |
30.28Мб |
| 003 Kinesis Data Streams.mp4 |
45.56Мб |
| 003 Kinesis Data Streams Key Concepts.html |
28.44Кб |
| 003 Monitoring and Analyzing Training Jobs.mp4 |
11.05Мб |
| 003 Relationships.mp4 |
20.08Мб |
| 004 Amazon SageMaker Deployments.mp4 |
36.25Мб |
| 004 Comparisons.mp4 |
13.32Мб |
| 004 Evaluating Model Accuracy.mp4 |
50.89Мб |
| 004 Image Net Data.txt |
26б |
| 004 Kinesis Firehose.mp4 |
17.04Мб |
| 004 Machine Learning Data Terminology.mp4 |
57.19Мб |
| 004 MNIST Data.txt |
34б |
| 004 Regression.mp4 |
46.58Мб |
| 004 SageMaker Modeling.mp4 |
48.80Мб |
| 004 Streaming ETL for Data Lakes using Amazon Kinesis Firehose.txt |
44б |
| 004 Technobabble.txt |
43б |
| 004 Text Feature Engineering.mp4 |
58.54Мб |
| 004 tf-idf Vectorizer.html |
53.82Кб |
| 004 Turboencabulator Video.txt |
44б |
| 004 What Is Amazon Kinesis Data Firehose.html |
21.88Кб |
| 005 Analyze live video at scale in real time using Amazon Kinesis Video Streams and Amazon SageMaker.txt |
144б |
| 005 AWS Data Stores.mp4 |
23.56Мб |
| 005 Clustering.mp4 |
24.94Мб |
| 005 Deep Dive - Amazon Kinesis Video Streams.txt |
44б |
| 005 Distributions.mp4 |
19.50Мб |
| 005 Kinesis Video Streams.mp4 |
11.82Мб |
| 005 Model Tuning.mp4 |
24.65Мб |
| 005 Numeric Feature Engineering.mp4 |
23.75Мб |
| 005 Other ML Deployment Options.mp4 |
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| 005 SageMaker Training.mp4 |
39.05Мб |
| 005 scikit-learn MinMaxScaler (Normalization).html |
38.21Кб |
| 005 scikit-learn StandardScaler (Standardization).html |
48.97Кб |
| 006 Amazon Machine Learning Key Concepts.html |
54.66Кб |
| 006 Amazon SageMaker Automatic Model Tuning Using Machine Learning for Machine Learning.txt |
67б |
| 006 Analyzing Data Streams in Real Time with Amazon Kinesis.txt |
44б |
| 006 AWS Glue Classifiers.html |
42.97Кб |
| 006 AWS Migration Tools.mp4 |
27.77Мб |
| 006 Classification.mp4 |
23.57Мб |
| 006 Common Dataset Formats.html |
29.84Кб |
| 006 Compositions.mp4 |
9.61Мб |
| 006 Create real-time clickstream sessions and run analytics with Amazon Kinesis Data Analytics AWS Glue and Amazon Athena.txt |
157б |
| 006 Data Pipeline Activities.html |
12.18Кб |
| 006 DMS Release Review.txt |
51б |
| 006 Easily monitor and visualize metrics while training models on Amazon SageMaker.txt |
126б |
| 006 Exam Tips.mp4 |
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| 006 Exam Tips.mp4 |
10.40Мб |
| 006 Incremental Training in Amazon SageMaker.html |
49.84Кб |
| 006 Joining and Enriching Streaming Data on Amazon Kinesis.txt |
94б |
| 006 Kinesis Data Analytics.mp4 |
21.52Мб |
| 006 Managing Machine Learning Projects.pdf |
747.21Кб |
| 006 MNIST datasets.txt |
34б |
| 006 Other Feature Engineering.mp4 |
27.02Мб |
| 006 Security.mp4 |
42.95Мб |
| 006 Use Your Own Algorithms with Amazon SageMaker.html |
29.65Кб |
| 007 AWS Helper Tools.mp4 |
12.20Мб |
| 007 Choosing A Visualization.mp4 |
20.98Мб |
| 007 Evaluation and Optimization Lab.mp4 |
164.32Мб |
| 007 Exam Tips.mp4 |
6.85Мб |
| 007 Handling Missing Values.mp4 |
15.25Мб |
| 007 Hyperparameter Tuning with Amazon SageMakers Automatic Model Tuning - AWS Online Tech Talks.txt |
44б |
| 007 Image Analysis.mp4 |
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| 007 Jupyter Notebook (ufo-evaluation-optimization-lab.txt |
137б |
| 007 Jupyter Notebook (ufo-modeling-lab.txt |
122б |
| 007 K-Means Hyperparameters Documentation.html |
29.42Кб |
| 007 K-Means SageMaker Documentation.html |
69.22Кб |
| 007 Linear Learner Hyperparameters.html |
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| 007 Modeling Lab.mp4 |
143.96Мб |
| 007 Monitor and Evaluate.mp4 |
34.25Мб |
| 007 Real-Time Machine Learning Using Amazon Kinesis.txt |
44б |
| 007 Training Dataset in recordIO Protobuf format (ufo_sightings_train_recordIO_protobuf.txt |
142б |
| 007 UFO Sightings Dataset (ufo_fullset.txt |
115б |
| 007 Validation Dataset in recordIO Protobuf format (ufo_sightings_validation_recordIO_protobuf.txt |
148б |
| 007 WHITEPAPER - Streaming Data Solutions on AWS with Amazon Kinesis.pdf |
1.11Мб |
| 008 Amazon QuickSight Announces General Availability of ML Insights.txt |
103б |
| 008 Anomaly Detection.mp4 |
20.28Мб |
| 008 AWS Docs Best Practices for Deploying Models.html |
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| 008 AWS reInvent 2018 Effective Data Lakes Challenges and Design Patterns.txt |
44б |
| 008 AWS reInvent 2018 Introducing ML Insights with Amazon QuickSight.txt |
44б |
| 008 AWS reInvent 2018 Modern Cloud Data Warehousing.txt |
44б |
| 008 AWS Whitepaper Power Machine Learning at Scale.pdf |
654.93Кб |
| 008 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt |
96б |
| 008 CloudFormation Template (setup data producer).txt |
123б |
| 008 Create Subset Transformation Query.txt |
138б |
| 008 Exam Tips.mp4 |
14.97Мб |
| 008 Exam Tips.mp4 |
7.67Мб |
| 008 Exam Tips.mp4 |
14.11Мб |
| 008 Feature Selection.mp4 |
11.29Мб |
| 008 httpsrandomuser.txt |
23б |
| 008 Lambda function (add-newline-function).txt |
108б |
| 008 Matplotlib Python Library.txt |
24б |
| 008 PutRecord Python program.py |
128б |
| 008 Streaming Data Collection Lab.mp4 |
125.52Мб |
| 008 Whitepaper - AWS Database Migration Service Best Practices.pdf |
583.43Кб |
| 008 Whitepaper - Big Data Aanlytics Options on AWS.pdf |
757.16Кб |
| 008 Whitepaper - Data Warehousing on AWS.pdf |
350.73Кб |
| 008 Whitepaper - Migrating to Apache HBase on Amazon S3 on Amazon EMR.pdf |
809.49Кб |
| 008 Whitepaper - Sizing Cloud Data Warehouses.pdf |
367.93Кб |
| 009 AWS Glue - How it works.html |
19.04Кб |
| 009 AWS Glue Release Review.txt |
51б |
| 009 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt |
44б |
| 009 Box Plot Jupyter Notebook (box-plot-example.txt |
122б |
| 009 Call an Amazon SageMaker model endpoint using Amazon API Gateway and AWS Lambda.txt |
127б |
| 009 Car Dataset (car_data.txt |
112б |
| 009 Data Analysis and Visualization Lab.mp4 |
149.91Мб |
| 009 Getting Started with AWS Glue ETL.txt |
44б |
| 009 Helper Tools.mp4 |
53.39Мб |
| 009 Implementation and Operations Lab.mp4 |
164.09Мб |
| 009 Jupyter Notebook (ufo-implementation-operations-lab.txt |
139б |
| 009 Jupyter Notebooks.txt |
21б |
| 009 Lambda Function (lambda_function.py |
118б |
| 009 my-manifest.json |
116б |
| 009 Sample Request JSON (sample_request.json |
119б |
| 009 Text Analytics.mp4 |
32.85Мб |
| 009 UFO Full Dataset (ufo_fullset.txt |
115б |
| 009 Using Apache Spark with Amazon SageMaker - AWS Online Tech Talks.txt |
44б |
| 009 What is AWS Glue.txt |
44б |
| 010 AWS reInvent 2018 Building Serverless Analytics Pipelines with AWS Glue.txt |
44б |
| 010 AWS reInvent 2018 Integrate Amazon SageMaker with Apache Spark.txt |
88б |
| 010 Build a Data Lake Foundation with AWS Glue and Amazon S3.txt |
96б |
| 010 Building Serverless ETL Pipelines with AWS Glue.txt |
44б |
| 010 Deconstruction Lab.mp4 |
16.93Мб |
| 010 Exam Tips.mp4 |
26.68Мб |
| 010 Reinforcement Learning.mp4 |
29.43Мб |
| 010 Whitepaper - Power Machine Learning at Scale.pdf |
654.93Кб |
| 011 Age Groupings Query.txt |
117б |
| 011 Data Preparation Lab.mp4 |
103.95Мб |
| 011 Forecasting.mp4 |
16.98Мб |
| 011 Gender mapping pyspark code.py |
117б |
| 011 Gender Percentages Query.txt |
122б |
| 011 Most Common Ages Query.txt |
120б |
| 011 User Data (user-data).txt |
109б |
| 012 Ensemble Learning.mp4 |
24.11Мб |
| 013 Exam Tips.mp4 |
21.54Мб |
| 013 Use Amazon SageMaker Built-in Algorithms.html |
29.94Кб |
| 014 Algorithms Lab.mp4 |
195.99Мб |
| 014 Jupyter Notebook (ufo-algorithms-lab.txt |
124б |
| 014 UFO Sightings Dataset (ufo_fullset.txt |
115б |
| 1. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url |
286б |
| 3. (FTUApps.com) Download Cracked Developers Applications For Free.url |
239б |
| How you can help our Group!.txt |
208б |