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> Bayesian Reasoning and Machine Learning

Bayesian Reasoning and Machine Learning

Authors

David Barber, University College London
Published 2012

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

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