Pattern Recognition and Machine Learning : Softcover reprint of the original 1st ed. 2006

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Publisher	Springer Nature
Language	English
Book type	Paperback
Utgiven	2016-08-23
More editions
Pages	738
ISBN	9781493938438
Kategori(er)	Computer science & IT

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Used within following courses

MT7039 DT516A FK7068 1RT705

Description

This is the first text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It provides the first text to use graphical models to describe probability distributions when there are no other books that apply graphical models to machine learning. It is also the first four-color book on pattern recognition. The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher.

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