Resources

The most helpful book to help read papers and understand presentations in this workshop will be Elements of Statistical Learning (ESL) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman, supplemented with "Machine Learning: a Probabilistic Perspective," by Kevin Patrick Murphy, and "Deep Learning" by Goodfellow and Yoshua Bengio and Aaron Courville. For those new to statistical learning, an introductory text, Introduction to Statistical Learning (ISL) can be found for free here. In addition, lecture videos corresponding to each chapter in the book can be found here. Other material used in the workshop may vary from week to week. They are described in the schedule.

Links

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