Pattern Recognition and Machine Learning

Christopher M. Bishop

Springer-Verlag New York Inc., 2016

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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.

ISBN-13
9781493938438
ISBN-10
1493938436
Publisher
Springer-Verlag New York Inc.
Year
2016
Publication date
2016-08-23
Pages
778
Dimensions
180x254x44
Weight
1380