Bayesian Reasoning and Machine Learning
by David Barber
Publisher: Cambridge University Press 2011
Number of pages: 644
The book 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.
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