Paper back.
Black/White print
International Edition (From India)
In good condition from non smoking reader. No visible wear. Asking for $28 +
shipping or best offer. (I am not in Lansing.)
I am selling it only because I want to get a hardcover one. Very good
textbook on machine learning.
Description (from Amazon):
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.
Link in amazon:
http://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738/ref=sr_1_1?ie=UTF8&qid=1415508314&sr=8-1&keywords=pattern+recognition+and+machine+learning
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