Machine Learning Resources
Zheng-Hua Tan
Data
THE
MNIST DATABASE of handwritten digits by Yann LeCun, and Corinna Cortes
The UCI Machine learning
repository contains a large collection of standard datasets for evaluating
learning algorithms.
Tools
Weka is a large Java package implementing many learning
algorithms.
Machine learning
open source software
Books
Introduction to
Machine Learning, Ethem Alpaydin,
The MIT Press, October 2004,
Pattern
Recognition and Machine Learning, Chris Bishop, Springer, 2006
Pattern Classification,
Second Edition, Richard O. Duda, Peter E. Hart, David
G. Stork, Wiley Interscience, 2001.
Machine Learning, Tom Mitchell, McGraw
Hill, 1997.
Journals:
Machine Learning,
Springer.
IEEE Transactions on Pattern Analysis & Machine
Intelligence
IEEE
Transactions on Knowledge & Data Engineering
Support Vector Machines
References
C. Burges, "A tutorial on support vector
machines for pattern recognition", Data Mining and Knowledge Discovery,
2(2), 121–167, 1998.
V. Vapnik, The Nature of Statistical Learning Theory, Springer-Verlag, New York, 1995.
R. Fletcher, Practical Methods of Optimization,
Wiley, 2000.
Kernel
Machines
Support Vector
Machines
Tools
LIBSVM -- A Library for
Support Vector Machines and more.
Neural Networks
References
Ian Nabney, Netlab: Algorithms for Pattern Recognition (Series:
Advances in Pattern Recognition), Springer, London, 2004.
Tools
Netlab
neural network software
Andrew
Moore's Tutorials, a collection of PDF tutorials on many topics in machine
learning.
Matlab Tutorial