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02 Return of the Multi-Armed Bandit/007 Updating a Sample Mean.mp4 2.3 MB
04 Markov Decision Proccesses/031 MDP Summary.mp4 2.5 MB
07 Temporal Difference Learning/051 Temporal Difference Intro.mp4 2.9 MB
02 Return of the Multi-Armed Bandit/006 Epsilon-Greedy.mp4 2.9 MB
08 Approximation Methods/062 Monte Carlo Prediction with Approximation.mp4 3.0 MB
05 Dynamic Programming/036 Policy Iteration.mp4 3.3 MB
04 Markov Decision Proccesses/025 Gridworld.mp4 3.5 MB
07 Temporal Difference Learning/058 TD Summary.mp4 4.1 MB
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03 Build an Intelligent Tic-Tac-Toe Agent/016 Notes on Assigning Rewards.mp4 4.4 MB
03 Build an Intelligent Tic-Tac-Toe Agent/019 Tic Tac Toe Code Representing States.mp4 4.6 MB
01 Introduction and Outline/003 Where to get the Code.mp4 4.7 MB
05 Dynamic Programming/035 Policy Improvement.mp4 4.8 MB
06 Monte Carlo/048 Monte Carlo Control without Exploring Starts.mp4 4.8 MB
08 Approximation Methods/065 Semi-Gradient SARSA.mp4 4.9 MB
05 Dynamic Programming/032 Intro to Dynamic Programming and Iterative Policy Evaluation.mp4 5.1 MB
07 Temporal Difference Learning/056 Q Learning.mp4 5.1 MB
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01 Intro to Course and Python/001 Course Intro.mp4 12.0 MB
01 Intro to Course and Python/002 Resources for Learning Python.mp4 3.9 MB
02 Setup/003 Installation Setup and Overview.mp4 65.0 MB
02 Setup/004 iPython Notebook Overview.mp4 9.3 MB
02 Setup/005 Course Environment Overview.mp4 8.7 MB
03 Learning Numpy/006 Creating arrays.mp4 13.7 MB
03 Learning Numpy/007 Using arrays and scalars.mp4 8.3 MB
03 Learning Numpy/008 Indexing Arrays.mp4 27.4 MB
03 Learning Numpy/009 Array Transposition.mp4 7.9 MB
03 Learning Numpy/010 Universal Array Function.mp4 15.7 MB
03 Learning Numpy/011 Array Processing.mp4 43.0 MB
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04 Intro to Pandas/013 Series.mp4 25.9 MB
04 Intro to Pandas/014 DataFrames.mp4 55.4 MB
04 Intro to Pandas/015 Index objects.mp4 9.7 MB
04 Intro to Pandas/016 Reindex.mp4 33.8 MB
04 Intro to Pandas/017 Drop Entry.mp4 9.7 MB
04 Intro to Pandas/018 Selecting Entries.mp4 19.0 MB
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