Introduction to Machine Learning
- By Nils J. Nilsson (downloadable draft)
- http://ai.stanford.edu/people/nilsson/mlbook.html

Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids.
- by R. Durbin, S.R. Eddy, A. Krogh, G.J. Mitchison. Focus is mainly on machine learning methods for alignment, phylogeny, and RNA structure analysis.
- http://www.binf.ku.dk/users/krogh/books.html

Computational Methods in Molecular Biology
- Edited by S. Salzberg, D. Searls, and S. Kasif. Elsevier Science, 1998. The book is largely devoted to machine learning approaches to molecular biology. The site includes an online appendix.
- http://www.cs.jhu.edu/~salzberg/compbio-book.html

Reinforcement Learning: An Introduction
- by Sutton & Barto, MIT Press, 1998.
- http://www-anw.cs.umass.edu/~rich/book/the-book.html

Machine Learning textbook
- A textbook by Tom Mitchell, McGraw Hill, 1997.
- http://www.cs.cmu.edu/~tom/mlbook.html

Machine Learning, Neural and Statistical Classification
- 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
- http://www.amsta.leeds.ac.uk/~charles/statlog/

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.
- http://support-vector.ws

Bioinformatics: The machine learning approach
- by P. Baldi and S. Brunak, MIT Press February 1998.
- http://www.cbs.dtu.dk/mitbook/mitbook.html