Machine Learning for Psychologists

Harvard FAS

This is a full-on applied machine learning (ML) course designed for graduate students in psychology and related fields. The first half of this course focuses on supervised learning methods for prediction/classification. We elaborate on the basic principles of predictive modeling such as sample splits, cross-validation, and model evaluation (confusion matrix), as well as more advanced ideas like modeling imbalanced data and model-agnostic methods for interpreting black box models such as…