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 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

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