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Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision

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Pattern Recognition and Machine Learning (Hardcover, 1st ed. 2006. Corr. 2nd printing 2011) Loot Price: R2,209

Discovery Miles 22 090

Repayment Terms: R207 pm x 12*

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Pattern Recognition and Machine Learning (Hardcover, 1st ed. 2006. Corr. 2nd printing 2011)

Christopher M. Bishop

Series: Information Science and Statistics

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Loot Price R2,209 Discovery Miles 22 090 | Repayment Terms: R207 pm x 12*

Expected to ship within 9 - 17 working days

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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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Information Science and Statistics
Release date:	April 2011
First published:	2006
Authors:	Christopher M. Bishop
Dimensions:	242 x 179 x 40mm (L x W x T)
Format:	Hardcover
Pages:	738
Edition:	1st ed. 2006. Corr. 2nd printing 2011
ISBN-13:	978-0-387-31073-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Promotions
LSN:	0-387-31073-8
Barcode:	9780387310732