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Pattern Recognition and Machine Learning (Information Science and Statistics)

Christopher M. Bishop




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 | #4245 in Books |  Christopher M Bishop |  2011-04-06 | Original language:English | PDF # 1 |  9.25 x7.25 x1.75l,3.90 | File type: PDF | 738 pages

 | Pattern Recognition and Machine Learning

||0 of 0 people found the following review helpful.| Four Stars|By costumer|good quality (however not "brand new" as stated), price ok|0 of 0 people found the following review helpful.| Five Stars|By Milton Saulo Raimundo|I like the book a lot and fits perfect in what I am working! Thank you...|0 of 0 people found the following review helpful.| Five St| ||From the reviews: |"This beautifully produced book is intended for advanced undergraduates, PhD students, and researchers and practitioners, primarily in the machine learning or allied areas...A strong feature is the use of geometric illustration and intuitio

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 where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calc...

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