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Pattern Recognition and Machine Learning

Hardcover • 2006 • English • 1. edition

Pattern Recognition and Machine Learning

By Christopher M. Bishop

0 Ratings • 0.0 of 5

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About the book

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 algebr...Show more

Computing and Information Technology

Book details

ISBN

9780387310732

Publisher

Springer-verlag new york inc.

Published year

2006

Language

English

Edition

1

Original title

Pattern Recognition and Machine Learning

Format

Hardcover

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