Information Science and Statistics: Pattern Recognition and Machine Learning

Christopher M. Bishop

ISBN 10: 0387310738 / ISBN 13: 9780387310732

Editore: Springer-Verlag New York Inc., 2006

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This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1850grams, ISBN:9780387310732.

Codice articolo 9880403

Dati bibliografici

• Titolo: Information Science and Statistics: Pattern Recognition and Machine Learning
• Editore: Springer-Verlag New York Inc.
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 0387310738
• ISBN 13: 9780387310732
• Rilegatura: Rilegato
• Condizione: Good
• Peso: 1850 grammi
• Cataloghi dei venditori:
  • Mathematics

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

​Chris Bishop is a Microsoft Distinguished Scientist and the Laboratory Director at Microsoft Research Cambridge. He is also Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was elected Fellow of the Royal Academy of Engineering, and in 2007 he was elected Fellow of the Royal Society of Edinburgh. 

Chris obtained a BA in Physics from Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory. He then joined Culham Laboratory where he worked on the theory of magnetically confined plasmas as part of the European controlled fusion programme.