Pattern Recognition and Machine Learning (Hardcover)

Christopher M. Bishop

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Language: English

Published by Springer-Verlag New York Inc., New York, NY, 2006

0387310738 / 9780387310732

Series: Book 1 of 1 - Information science and statistics

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Hardcover. Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation pro- gation. Similarly, new models based on kernels have had significant impact on both algorithms and applications. This new textbook reacts these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as wellas researchers and practitioners, and assumes no previous knowledge of pattern recognition or - chine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory. Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Title
Pattern Recognition and Machine Learning (Hardcover)
Author
Christopher M. Bishop
Publisher
Springer-Verlag New York Inc., New York, NY
Publication year
2006
Condition
new
Binding
Hardcover
Language
English
ISBN 10
0387310738
ISBN 13
9780387310732
Edition
1st Edition
Series
Book 1 of 1: Information science and statistics

Grand Eagle Retail

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