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Christopher M. Bishop
ISBN: 9781493938438
Estimated Dispatch Date: 09 Oct 2020
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Description

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.

Product Information

ISBN13 (SKU) 9781493938438
Title Pattern Recognition and Machine Learning
Author Christopher M. Bishop
Edition 1st
Publisher Springer UK
Publication Date 2016
Country of Publication United States
Format Type Physical
Number of Pages 738
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