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Pattern Recognition and Machine Learning - Information Science and Statistics Christopher M. Bishop 1st ed. 2006. Corr. 2nd printing 2011 edition
Pattern Recognition and Machine Learning - Information Science and Statistics
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 · 1.49 kg |
| Language | English |
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