CS textbook recommendations

[banazir]

Cross-posted from my LJ.

As a hobbit birthday present, I posted the following recommendation of

Comments

Two new machine learning books

[mapjunkie]

I have two candidates to look at. Both of these are relatively new machine learning textbooks, which relate to the so-called "statistical revolution" moving machine learning from structural techniques to more statistical approaches, as exemplified by the emergence of kernel methods (canonically SVM, but in truth so much more) online improvement and resampling procedures (Adaboost leading the pack here), and rigorous theory tying learning to the theory of computation (PAC-learnability). Tom Mitchell is working on a second edition of machine learning, covering this shift. These are good books to read in the meantime

[tvn]

I also really like the Introduction to Algorithms ... it is a great intro book to computer theory , graph , complexity etc. Also another of my fav is the Siper's book Intro to Computer Theory, it's small but hard to read, not an intro book at all.

Other books: Operating Systems by William Stallings.

But amazing enough I found many of my ideas for projects (AI related) came from the strategies & tatics from history (I like reading Chinese history-based books).