Here are some links to various learning resources you may find helpful.

Books

• Introduction to Machine Learning, by Ethem Alpaydin, MIT Press, 2004.
• Artificial Intelligence: A Modern Approach, 2nd Edition, by Stuart Russell and Peter Norvig, Prentice Hall, 2003.
• Layered Learning in Multiagent Systems: A Winning Approach to Multi-Robot Soccer, by Peter Stone, MIT Press, 2000.
• Reinforcement Learning: An Introduction, by Richard Sutton and Andrew Barto, MIT Press, 1998.
• Learning to Learn, by Sebastian Thrun and Lorien Pratt (eds), Kluwer, 1998.
• Machine Learning, by Tom M. Mitchell, McGraw Hill, 1997.
• Lazy Learning, by David W. Aha (ed)., Kluwer, 1997.
• Self-Organizing Maps, by T. Kohonen, Springer, 1995.
• Robot Learning, by Jonathan Connell and Sridhar Mahadevan (eds.), Kluwer, 1992.
• Neural Networks in Robotics, by George A. Bekey and Kenneth Y. Goldberg, Kluwer, 1993.

Data Sets for Learning

• UCI Repository
• UCI KDD Archive
• StatLib

Humor

• Journal of Machine Learning Gossip