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Bayesian Reasoning and Machine Learning Hardcover – 2 Feb 2012
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'This book is an exciting addition to the literature on machine learning and graphical models. What makes it unique and interesting is that it provides a unified treatment of machine learning and related fields through graphical models, a framework of growing importance and popularity. Another feature of this book lies in its smooth transition from traditional artificial intelligence to modern machine learning. The book is well-written and truly pleasant to read. I believe that it will appeal to students and researchers with or without a solid mathematical background.' Zheng-Hua Tan, Aalborg University, Denmark
'With approachable text, examples, exercises, guidelines for teachers, a MATLAB toolbox and an accompanying website, Bayesian Reasoning and Machine Learning by David Barber provides everything needed for your machine learning course. Only students not included.' Jaakko Hollmén, Aalto University
'The chapters on graphical models form one of the clearest and most concise presentations I have seen … The exposition throughout uses numerous diagrams and examples, and the book comes with an extensive software toolbox - these will be immensely helpful for students and educators. It's also a great resource for self-study.' Arindam Banerjee, University of Minnesota
'I repeatedly get unsolicited comments from my students that the contents of this book have been very valuable in developing their understanding of machine learning … My students praise this book because it is both coherent and practical, and because it makes fewer assumptions regarding the reader's statistical knowledge and confidence than many books in the field.' Amos Storkey, University of Edinburgh
This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and linear algebra. Numerous examples and exercises are provided. Additional resources available online and in the comprehensive software package include computer code, demos and teaching materials for instructors.See all Product Description
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Top Customer Reviews
It is a difficult read with very little flow. Definitions and equations are presented virtually on every page with no real link between them, or indeed the reason, background and real life application for them. Examples are trivial and not really requiring the formulae presented to solve, whereas the multitude of end of chapter questions (posed at degree level) do not get worked examples which could be used to solve them. The reader of this book alone, without previous work, has no chance whatsoever of answering these. Are answers to the questions available? If not Ibelieve the questions provide no added value.
The book is however, a great door stop. It provides a valuable compendium of formulae and definitions. Not a lot else though.