Bayesian Reasoning and Machine Learning

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.

Author: David Barber
Publisher: Cambridge University Press
Published: 02/02/2012
Pages: 735
Binding Type: Hardcover
Weight: 3.80lbs
Size: 9.80h x 7.70w x 1.50d
ISBN13: 9780521518147
ISBN10: 0521518148
BISAC Categories:
- Computers | Artificial Intelligence | Computer Vision & Pattern Recognit