Lecture Notes on Machine Learning - Kevin Zhou

Lecture Notes onMachine LearningKevin Notes follow Stanford s CS 229 Machine Learning course, as offered in Summer 2020. Othergood resources for this material include: Hastie, Tibshirani, and Friedman,The Elements of statistical Learning . Bishop,Pattern Recognition and Machine Learning . Wasserman,All of Statistics. Russell and Norvig,Artificial Intelligence: A Modern Approach. Mackay,Information Theory, Inference, and Learning Algorithms. Michael Nielsen s online book,Neural Networks and Deep Learning . Jared Kaplans s Contemporary Machine Learning for Physicists Lecture Notes .

Lecture Notes on Machine Learning Kevin Zhou kzhou7@gmail.com These notes follow Stanford’s CS 229 machine learning course, as o ered in Summer 2020. Other good resources for this material include: • Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning. • Bishop, Pattern Recognition and Machine Learning.

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