Bayesian Reasoning and Machine Learning

Bayesian Reasoning and Machine Learning

Hardback (02 Feb 2012) | English

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Synopsis

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.

About the Publisher

Cambridge University Press

Cambridge University Press

Cambridge University Press dates from 1534 and is part of the University of Cambridge. We further the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence.

Book information

ISBN: 9780521518147
Publisher: Cambridge University Press
Imprint: Cambridge University Press
Pub date:
DEWEY: 006.31
DEWEY edition: 23
Language: English
Number of pages: xxiv, 697
Weight: 1718g
Height: 247mm
Width: 195mm
Spine width: 38mm