mp4 Abella.Danger.Hands.On.Learning.hardcore.mp4
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08 - Implementing Use Case Scenarios Part 1/003 Scenario 2 Producing & Consuming Data to Data Lake in Azure - Part 2.mp4 154.47 MB
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01 - Course Kickoff/002 Top 5 Kafka Use Cases.mp4 18.55 MB
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01 - Course Kickoff/003 Brief Introduction to Apache Kafka.mp4 64.14 MB
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09 Appendix/068 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 43.92 MB
03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4 26.13 MB
09 Appendix/069 How to Code by Yourself part 1.mp4 24.53 MB
01 Introduction and Outline/002 What is Reinforcement Learning.mp4 21.94 MB
02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4 15.23 MB
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1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 105.79 MB
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1. Welcome! Course introduction/2. What does the course cover.mp4 16.36 MB
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01 Introduction and Outline/001 Introduction and outline.mp4 10.1 MB
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01 Introduction and Outline/003 Where to get the Code.mp4 4.45 MB
01 Introduction and Outline/004 Strategy for Passing the Course.mp4 9.47 MB
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8. Appendix/2. Windows-Focused Environment Setup 2018.mp4 194.28 MB
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3. Collaborative Filtering/5. User-User Collaborative Filtering in Code.mp4 153.58 MB
5. Restricted Boltzmann Machines (RBMs) for Collaborative Filtering/12. RBM Code pt 3.mp4 128.54 MB
8. Appendix/9. What order should I take your courses in (part 2).mp4 123.03 MB
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11. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 186.38 MB
4. Build an Intelligent Tic-Tac-Toe Agent/4. The Value Function and Your First Reinforcement Learning Algorithm.mp4 103.72 MB
5. Markov Decision Proccesses/7. Bellman Examples.mp4 87.12 MB
11. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.32 MB
10. Stock Trading Project with Reinforcement Learning/6. Code pt 2.mp4 65.29 MB
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09 Appendix/068 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 43.92 MB
03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4 26.13 MB
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01 Introduction and Outline/002 What is Reinforcement Learning.mp4 21.94 MB
02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4 15.23 MB
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09 Appendix/068 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 43.92 MB
03 Build an Intelligent Tic-Tac-Toe Agent/017 The Value Function and Your First Reinforcement Learning Algorithm.mp4 26.13 MB
09 Appendix/069 How to Code by Yourself part 1.mp4 24.53 MB
01 Introduction and Outline/002 What is Reinforcement Learning.mp4 21.94 MB
02 Return of the Multi-Armed Bandit/011 Bayesian Thompson Sampling.mp4 15.23 MB
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01 Introduction and Outline/001 Introduction and outline.mp4 10.1 MB
01 Introduction and Outline/002 What is Reinforcement Learning.mp4 21.94 MB
01 Introduction and Outline/003 Where to get the Code.mp4 4.45 MB
01 Introduction and Outline/004 Strategy for Passing the Course.mp4 9.47 MB
02 Return of the Multi-Armed Bandit/005 Problem Setup and The Explore-Exploit Dilemma.mp4 6.47 MB