Predicting Real-valued Outputs: An introduction to regression

Instance-based learning (aka Case-based or Memory-based or non-parametric)

K-means and Hierarchical Clustering

Bayesian Networks

Gaussians

Gaussian Bayes Classifiers

Probability for Data Miners

Cross-Validation

Eight Regression Algorithms

Maximum Likelihood Estimation

VC dimensio

Neural Networks

Support Vector Machines

Short Overview of Bayes Nets

A Short Intro to Naive Bayesian Classifiers