Bayesian Reasoning and Machine Learning

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Bayesian Reasoning and Machine Learning

By David Barber

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Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

Subject: Professional, Career & Trade -> Computer Science -> Computer Vision & Pattern Recognition

Bayesian Reasoning and Machine Learning
1st edition
Publisher: Cambridge University Press 2/2/12
Imprint: Cambridge University Press
Language: English

ISBN 10: 1139636065
ISBN 13: 9781139636063
Print ISBN: 9780521518147

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