I am determined to be a lifelong learner. In spare time, I am an avid reader and interested in writing as well. I hope to publish a book in the future.

Books

The followings are the books Kaiyuan read.

• Learning in Graphical Models. Michael I. Jordan. MIT Press. 1999.
• Probabilistic Graphical Models: Principles and Techniques. Daphne Koller and Nir Friedman. MIT Press. 2009.
• Pattern Recognition and Machine Learning. Bishop, Christopher. Springer. 2006.
• Linear Programming and Extensions. Dantzig, George B. RAND Corporation. 1963.
• Linear Programming 2: Theory and Extensions. Dantzig, George B., Thapa, Mukund N. Springer. 2003.
• Introduction to Algorithms, Third Edition. Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest and Clifford Stein. MIT Press 2009.

Online Courses

The followings are the courses he took online.

• CS229: Machine learning, Andrew Ng, Stanford.
• Algorithms I, Kevin Wayne, Robert Sedgewick, Princedon.
• Machine Learning Foundations, Hsuan-Tien Lin, NTU.
• Machine Learning Techniques, Hsuan-Tien Lin, NTU.
• Text Mining and Analytics, ChengXiang Zhai, UIUC.
  • Notes

Miscellaneous

• LaTeX
• Git Tutorials
• SVN