CS494/594: Machine Learning
Learning Resources
Fall 2007
Here are some links to various learning resources you may find helpful.
Books
- Machine Learning, by Tom M. Mitchell, McGraw Hill, 1997.
- 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.
- 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
Humor
Last updated: August 23, 2007