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Synopsis
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...
Book Description
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.
About the Author
David Barber is Reader in Information Processing in the Department of Computer Science, University College London.
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- PublisherCambridge University Press
- Publication date2012
- ISBN 10 0521518148
- ISBN 13 9780521518147
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages735
- Rating
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Bayesian Reasoning and Machine Learning
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Bayesian Reasoning and Machine Learning
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Bayesian Reasoning and Machine Learning
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Bayesian Reasoning and Machine Learning
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Bayesian Reasoning and Machine Learning
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ISBN 13: 9780521518147
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