farfallawang / learning

Online courses, books, lectures

Machine Learning

Courses

Learning from Data (Caltech, Yaser Abu-Mostafa) video

Machine Learning Foundation (NTU, Hsuan-Tien Lin) video

Machine Learning Techniques (NTU, Hsuan-Tien Lin) video

Understanding Machine Learning (University of Waterloo, Shai Ben-David) video

Machine Learning (CMU, Tom Mitchell) video

Statistical Learning (Stanford, Trevor Hastie, Rob Tibshirani) video

CS224N Natural Language Processing with Deep Learning (Stanford) slides video

CS231N Convolutional Neural Networks for Visual Recognition (Stanford) slides video

Reinforcement Learning (UCL, David Silver) slides videos

CS294 Reinforcement Learning (UC Berkeley, Sergey Levine) videos

Deep RL Bootcamp (UC Berkeley) videos+slides

Advanced Deep Learning and Reinforcement Learning (UCL + DeepMind) videos

Books

Introduction to Machine Learning (Ethem Alpaydin)

An Introduction to Statistical Learning (Gareth James, Daniela Witten, Trevor Hastie, Rob Tibshirani)

The Elements of Statistical Learning (Trevor Hastie, Rob Tibshirani)

Pattern Recognition and Machine Learning (Christopher M. Bishop)

Model-based Machine Learning (Christopher M. Bishop)

Deep Learning (Ian Goodfellow, Yoshua Bengio)

Reinforcement Learning: An Introduction (Richard Sutton, Andrew G. Barto)

Natural Language Processing (Jacob Eisenstein)

Lectures

Richard Sutton Tutorial: Introduction to Reinforcement Learning with Function Approximation

Deep Learning and Reinforcement Learning Summer School, Toronto 2018 Link