Pattern Recognition and Machine Learning
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Pattern Recognition and Machine Learning by King-Sun Fu

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Published by Springer .
Written in English

Subjects:

  • Chemistry - General,
  • Questions & Answers,
  • Science / Chemistry / General,
  • Reference,
  • Congresses,
  • Machine learning,
  • Pattern recognition systems,
  • Self-organizing systems

Book details:

The Physical Object
FormatHardcover
Number of Pages343
ID Numbers
Open LibraryOL10322231M
ISBN 100306305461
ISBN 109780306305467

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  Pattern Recognition and Machine Learning (PDF) providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or .   This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations 4/5(4). For a great first book, I recommend Hastie's "An Introduction to Statistical Learning", or Hal Duame's "A Course In Machine Learning" (). After finishing this book, I would recommend "Pattern Cited by:   Pattern Recognition and Machine Learning (Information Science and Statistics) The above book by Christopher M. Bishop is widely regarded as one of the most comprehensive books on Machine Learning. At over pages, it has coverage of most machine learning and pattern recognition topics. It is considered very rigorous for a machine learning .