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 Title: Bayesian Reasoning and Machine Learning
 Author(s) David Barber
 Publisher: Cambridge University Press (2012); eBook (Online Edition: David Barber ©2020)
 Permission: Online Edition Provided by the Author.
 Hardcover: 735 pages
 eBook: PDF (690 pages)
 Language: English
 ISBN10: 0521518148
 ISBN13: 9780521518147
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Book Description
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 handson text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for finalyear 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.
About the Authors N/A
 Bayesian Thinking
 Deep Learning and Neural Networks
 Machine Learning
 Statistics, Mathematical Statistics
 Probability and Stochastic Processes
 Artificial Intelligence
 Bayesian Reasoning and Machine Learning (David Barber)
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