Prediction types, error measures, training and test data, cross validation,
machine learning, regression trees, random forests, boosting, classification, forecasting time series, modelbased versus design-based causality, potential outcomes framework, matching, difference-in-differences, panel data, synthetic controls. A-F only. Pre: 425 (with a minimum grade of B- or better).