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Pattern Recognition and Machine Learning - Information Science and Statistics 1st ed. 2006. Corr. 2nd printing 2011 edition
Christopher M. Bishop
Pattern Recognition and Machine Learning - Information Science and Statistics 1st ed. 2006. Corr. 2nd printing 2011 edition
Christopher M. Bishop
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.
760 pages, 304 colour illustrations, biography
Media | Books Hardcover Book (Book with hard spine and cover) |
Released | August 17, 2006 |
ISBN13 | 9780387310732 |
Publishers | Springer-Verlag New York Inc. |
Pages | 778 |
Dimensions | 188 × 242 × 42 mm · 1.51 kg |
Language | English |
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