- Speech and Language Processing (3rd ed. draft) -Ongoing-
- Computer Age Statistical Inference -Ongoing-
- The Elements of Statistical Learning
- Reinforcement Learning: An Introduction
- Applied Predictive Modeling
- Pattern Recognition And Machine Learning
- Mining of Massive Datasets
- On Machine Learning with Scikit-Learn and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems
- Bayesian Data Analysis
- Machine Learning for Hackers
- Python for Data Analysis
- Udacity software engineering: 1, 2, 3 -Ongoing-
- Stanford 224n
- Topics in Mathematics with Applications in Finance (MIT): Youtube, Course
- FAST.ai part2: http://course.fast.ai/part2.html
- CS 294: Deep Reinforcement Learning: http://rll.berkeley.edu/deeprlcourse/
- CMU 701 by Tom Mitchell: http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml
- Cryptography: https://www.coursera.org/learn/crypto
- Statistical Rethinking: http://xcelab.net/rm/statistical-rethinking/
- Probabilistic Graphical Models: https://www.coursera.org/specializations/probabilistic-graphical-models
- Bitcoin and Cryptocurrency Technologies：https://www.coursera.org/learn/cryptocurrency
- Compiler：https://lagunita.stanford.edu/courses/Engineering/Compilers/Fall2014/about
- NTU - Machine Learning (2017,Fall) http://speech.ee.ntu.edu.tw/~tlkagk/courses_ML17_2.html