This course provides an overview of machine learning and data mining. The main content in the module includes: data preparation, factorial analysis, cluster analysis, outlier analysis, association pattern mining, k-nearest neighbors, probabilistic classifiers, decision trees, support vector machines, neural networks, and classifier evaluation.