Bayesian Reasoning and Machine Learning
- Textbook
Description
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…
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Key features
- Consistent use of modelling encourages students to see the bigger picture while they develop hands-on experience
- Full downloadable MATLAB toolbox, including demos, equips students to build their own models
- Website includes figures from the book, LaTeX code for use in slides, and additional teaching material that enables instructors to easily set exercises and assignments
About the book
- DOI https://doi.org/10.1017/CBO9780511804779
- Subjects Computational Statistics, Machine Learning and Information Science,Computer Science,Machine Learning and Pattern Recognition,Statistics and Probability
- Format: Hardback
- Publication date: 12 March 2012
- ISBN: 9780521518147
- Dimensions (mm): 246 x 189 mm
- Weight: 1.71kg
- Contains: 287 b/w illus. 1 table 260 exercises
- Page extent: 735 pages
- Availability: In stock
- Format: Digital
- Publication date: 05 June 2012
- ISBN: 9780511804779
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