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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…
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
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Author
David Barber,University College London
David Barber is Reader in Information Processing in the Department of Computer Science, University College London.