Applied Machine Learning for the Social Sciences

Harvard FAS

This course introduces students to foundational concepts, models, and algorithms in machine learning. We begin with regularization and tools to avoid overfitting in linear and non-linear models. Then, we show how these models apply both to measurement of latent concepts and to estimation of causal effects.