Books
Links
Bioinformatics: The machine learning approach
http://www.cbs.dtu.dk/mitbook/mitbook.html
by P. Baldi and S. Brunak, MIT Press February 1998.
Support Vector Machines, Neural Networks and Fuzzy Logic Models
A textbook that provides a thorough, comprehensive and unified introduction to the field of learning from experimental data and soft computing.
Introduction to Machine Learning
http://robotics.stanford.edu/people/nilsson/mlbook.html
By Nils J. Nilsson (downloadable draft)
Machine Learning, Neural and Statistical Classification
http://www.amsta.leeds.ac.uk/~charles/statlog/
This book is based on the EC (ESPRIT) project StatLog which compare and evaluated a range of classification techniques, with an assessment of their merits, disadvantages and range of application. This integrated volume provides a concise introduction to each method, and reviews comparative trials in large-scale commercial and industrial problems. It makes accessible to a wide range of workers the complex issue of classification as approached through machine learning, statistics and neural networks, encouraging a cross-fertilization between these discplines.
Machine Learning textbook
http://www.cs.cmu.edu/~tom/mlbook.html
A textbook by Tom Mitchell, McGraw Hill, 1997.