Pattern recognition and machine learning (Book, 2007) [WorldCat.org]
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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
Summary:

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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