Bayesian Reasoning and Machine Learning
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A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of tec
Bayesian methods for machine learning have been widely investigated, yielding principled methods for incorporating prior information into inference algorithms.
The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.
In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow reade