Bayesian Reasoning and Machine Learning
David Barber, University College London
Cambridge University Press, 2012
ISBN: 978-0-521-51814-7;
Language: English
Bayesian Reasoning and Machine Learning provides a comprehensive and coherent view on machine learning. This hands-on text covers 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 help prepare them for the real world. Bayesian Reasoning is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus.
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.
