• 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
• ISBN-10: 0521518148
• ISBN-13: 978-0521518147
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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 hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It 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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• 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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