Author: Tom M. Mitchell
Edition: 1st
Binding: Paperback
ISBN: 0071154671
Publisher: McGraw-Hill
Edition: 1st
Binding: Paperback
ISBN: 0071154671
Publisher: McGraw-Hill
Stephen Marsland: Machine Learning: An Algorithmic Perspective
Machine Learning
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Download free Machine Learning (McGraw-Hill International Editions Computer Science Series) from rapidshare, mediafire, 4shared
Search and find a lot of computer books in many category availabe for free download
