Pattern recognition and machine learning (Book, 2007) []
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Pattern recognition and machine learning

Author: Christopher M Bishop
Publisher: New York : Springer, 2007, ©2006.
Series: Information science and statistics.
Edition/Format:   Print book : EnglishView all editions and formats

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  Read more...


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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Christopher M Bishop
ISBN: 0387310738 9780387310732
OCLC Number: 228415823
Notes: (Corrected printing 2007)--T.p. verso.
Description: xx, 738 pages : illustrations (chiefly color) ; 24 cm.
Contents: Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods.- Sparse Kernel Machines.- Graphical Models.- Mixture Models and EM.- Approximate Inference.- Sampling Methods.- Continuous Latent Variables.- Sequential Data.- Combining Models.
Series Title: Information science and statistics.
Responsibility: Christopher M. Bishop.
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From the reviews: "This beautifully produced book is intended for advanced undergraduates, PhD students, and researchers and practitioners, primarily in the machine learning or allied areas...A Read more...

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