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 masters 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.
Bayesian Reasoning and Machine Learning by David Barber - PDF free download eBook
Book author: David Barber
- Published: Sep 05, 2015
- Reviews: 157
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...more details below
Details of Bayesian Reasoning and Machine Learning
- Publication date
- Jan 31, 2012
- Age range
- 18+ Years
- Book language
- PDF, EPUB, FB2, FB3
- Normal quality scanned pages
- 7.60 (w) x 9.88 (h) x 1.46 (d)
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