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Hardcover • 2006 • English • 1. edition
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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
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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