Pattern Recognition and Machine Learning

Name: Pattern Recognition and Machine Learning
Brand: Springer-Verlag New York Inc.
SKU: 9780387310732
Price: 13500 KES
Availability: OutOfStock
ISBN: 9780387310732

1st ed. 2006. Corr. 2nd printing 2011

by Christopher M. Bishop

Book Details

Format Hardback

Book Series Information Science and Statistics

ISBN-10 0387310738

ISBN-13 9780387310732

Edition 1st ed. 2006. Corr. 2nd printing 2011

Publisher Springer-Verlag New York Inc.

Imprint Springer-Verlag New York Inc.

Country of Manufacture US

Country of Publication GB

Publication Date Aug 17th, 2006

Print length 778 Pages

Weight 1,490 grams

Dimensions 24.20 x 18.80 x 4.20 cms

Product Classification: Computer vision

KSh 13,500.00

Publisher Out of Stock 0 in stock

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Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models.

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.

Get Pattern Recognition and Machine Learning by Christopher M. Bishop at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by Springer-Verlag New York Inc. and it has 778 pages.