Chip Huyen의 twitter에서 펌

1. Probability and Statistics by Stanford Online
2. Linear Algebra by MIT
3. CS231N: Convolutional Neural Networks for Visual Recognition by Stanford
4. Practical Deep Learning for Coders by fastai
5. CS224N: Natural Language Processing with Deep Learning by Stanford
6. Machine Learning by Coursera (Andrew Ng)
7. Probabilistic Graphical Models Specialization by Coursera (Daphne Koller)
8. Introduction to Reinforcement Learning by DeepMind
9. Full Stack Deep Learning Bootcamp (@pabbeel, @josh_tobin_, @sergeykarayev)
10. How to Win a Data Science Competition: Learn from Top Kagglers by Coursera