Week One: Basic concepts in machine learning.Week Two: Decision tree induction.Week Three: Learning sets of rules and logic programs.Week Four: Instance-based learning.Week Five: Statistical learning.Week Six: Neural networks.Week Seven: Model ensembles.Week Eight: Learning theory.Week Nine: Support vector machines.Week Ten: Clustering and dimensionality reduction.