Bayesian Reasoning and Machine Learning de Barber, David - 2012-03-12T00:00:01Z

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Cambridge University Press, 2012-03-12. Hardcover. Good. US Edition Textbook, May Have Highlights, Notes and/or Underlining, BOOK ONLY-NO ACCESS CODE, NO CD, Ships with Emailed Tracking from USA

ISBN: 9780521518147
CAMBRIDGE UNIVERSITY PRESS | 15 February 2019
Hardback | 735 pages 
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… Leer más

Cambridge University Press, 2012. Hardcover. New. 650 pages. 9.76x7.48x1.50 inches.