Publisher: Chapman and Hall/CRC; April, 2009, 457 p.
A Proven, Hands-On Approach for Students without a Strong Statistical Foundation
Linear discriminants
The multi-layer perceptron
Radial basis functions and splines
Support vector machines
Learning with trees
Decision by committee: ensemble learning
Probability and learning
Unsupervised learning
Dimensionality reduction
Optimisation and search
Evolutionary learning
Reinforcement learning
Markov chain Monte Carlo methods (MCMC)
Graphical models
Python