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Pattern Recognition and Machine Learning

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Pattern Recognition and Machine Learning - Bishop, Christopher M
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This is the first textbook on pattern recognition to present the Bayesian viewpoint. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible, and it uses graphical models to describe probability distributions.

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Pattern Recognition and Machine Learning 2016, Springer, New York, NY

ISBN-13: 9781493938438

Trade paperback

Pattern Recognition and Machine Learning 2011, Springer, New York, NY

ISBN-13: 9780387310732

2006 edition

Hardcover