Pattern Recognition and Machine Learning

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Springer, 2013 - Machine learning - 738 pages
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The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.

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Review: Pattern Recognition and Machine Learning

User Review  - Oldrich - Goodreads

1. The book is mainly about Bayesian approach. And many important techniques are missing. This is the biggest problem I think. 2. “Inconsistent difficulty”, too much time spent on simple things and ... Read full review

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