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Bayesian Reasoning and Machine Learning

£39.99 Out Of Stock

Product description

In very good condition- a couple of light smudges on top of pages, and very light shelf wear. One small but significant dent in spine.

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. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

Item details

PLU:
0
Author(s):
David Barber
Condition:
Used: very good
Edition:
5th (2014)
Format:
Hardback
ISBN-10:
0521518148
ISBN-13:
9780521518147
Number of pages:
697
Publisher:
Cambridge University Press

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About this item

In very good condition- a couple of light smudges on top of pages, and very light shelf wear. One small but significant dent in spine.

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. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online.

PLU:
0
Author(s):
David Barber
Condition:
Used: very good
Edition:
5th (2014)
Format:
Hardback
ISBN-10:
0521518148
ISBN-13:
9780521518147
Number of pages:
697
Publisher:
Cambridge University Press

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