Much Further Reading

Every section below contains a few papers (or even Wikipedia pages) that easy to read, without much math. Some students asked more advanced questions (e.g. relation between Bayesian modeling and logistic regression), so here is a list of some more advanced books.

Two for now, perhaps more later.

Note that these books are heavy on mathematics.

• C. M. Bishop: Pattern Recognition and Machine Learning
• T. Hastie, R. Tibshirani, J. Friedman: The Elements of Statistical Learning (free download)

These two books cover the same topic. The former approaches more from AI, the latter from statistics. For me, Bishop is more pleasant.