Michael L. Littman

Littman in 2023 Michael Lederman Littman (born August 30, 1966) is a computer scientist, researcher, educator, and author. His research interests focus on reinforcement learning. He is currently a University Professor of Computer Science at Brown University, where he has taught since 2012. Provided by Wikipedia

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  1. 1
    Introduction to Machine Learning

    Streaming video - 2020

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  2. 2
    Introduction to Machine Learning. Episode 1, Telling the Computer What We Want

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  3. 3
    Introduction to Machine Learning. Episode 2, Starting with Python Notebooks and Colab

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  4. 4
    Introduction to Machine Learning. Episode 3, Decision Trees for Logical Rules

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  5. 5
    Introduction to Machine Learning. Episode 4, Neural Networks for Perceptual Rules

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  6. 6
    Introduction to Machine Learning. Episode 5, Opening the Black Box of a Neural Network

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  7. 7
    Introduction to Machine Learning. Episode 6, Bayesian Models for Probability Prediction

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  8. 8
    Introduction to Machine Learning. Episode 7, Genetic Algorithms for Evolved Rules

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  9. 9
    Introduction to Machine Learning. Episode 8, Nearest Neighbors for Using Similarity

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  10. 10
    Introduction to Machine Learning. Episode 9, The Fundamental Pitfall of Overfitting

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  11. 11
    Introduction to Machine Learning. Episode 10, Pitfalls in Applying Machine Learning

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  12. 12
    Introduction to Machine Learning. Episode 11, Clustering and Semi-Supervised Learning

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    Introduction to Machine Learning. Episode 12, Recommendations with Three Types of Learning

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  14. 14
    Introduction to Machine Learning. Episode 13, Games with Reinforcement Learning

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  15. 15
    Introduction to Machine Learning. Episode 14, Deep Learning for Computer Vision

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    Introduction to Machine Learning. Episode 15, Getting a Deep Learner Back on Track

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  17. 17
    Introduction to Machine Learning. Episode 16, Text Categorization with Words as Vectors

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    Introduction to Machine Learning. Episode 17, Deep Networks That Output Language

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    Introduction to Machine Learning. Episode 18, Making Stylistic Images with Deep Networks

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  20. 20
    Introduction to Machine Learning. Episode 19, Making Photorealistic Images with GANs

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