Links

Web Resources

Portals

Books

Blogs

Courses

Video Lectures

Software

  • WEKA - data mining software in Java.
  • YALE - Yet Another Learning Environment.
  • Scilab - A free alternative to Matlab used in the course.

Textbooks

Most of these are available in the faculty library.

  • J. Shawe-Taylor, N. Cristianini. Kernel Methods for Pattern Analysis. http://www.kernel-methods.net
  • N. Cristianini, J. Shawe-Taylor. An Introduction to Support Vector Machines. http://www.support-vector.net
  • T. Hastie, R. Tibshirani, J. Friedman (2001). The Elements of Statistical Learning: Data Mining, Inference and Prediction. Springer ISBN 0-387-95284-5 533pp.
  • V. N. Vapnik (1998). Statistical Learning Theory. Wiley, 736pp.
  • V. Kecman. Learning & Soft Computing.
  • Tom Mitchell. Machine Learning.
  • S. Haykin. Neural Networks - A Comprehensive Foundation, Prentice Hall, 842pp.
  • Christopher Bishop (1995) Neural Networks for Pattern Recognition Clarendon Press, Oxford, 256pp. ISBN: 0198538642
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