An introduction to machine learning [electronic resource] / Miroslav Kubat.

A Simple Machine-Learning Task
Probabilities: Bayesian Classifiers
Similarities: Nearest-Neighbor Classifiers
Inter-Class Boundaries: Linear and Polynomial Classifiers
Artificial Neural Networks
Decision Trees
Computational Learning Theory
A Few Instructive Applications
Induction of Voting Assemblies
Some Practical Aspects to Know About
Performance Evaluation.-Statistical Significance
The Genetic Algorithm
Reinforcement learning.