EconomicsECON 124 Machine Learning for Economists

Introduction to machine learning from the perspective of economics. Students introduced to modern estimation methods for high-dimensional data, which is illustrated through applications to causal inference and prediction problems in economics, business, and related fields. Students gain experience working with these methods through programming assignments. Course focuses on methodology and its practical application and culminates in an empirical project in which students apply course concepts to real-world data.


Prerequisite(s): ECON 113. Enrollment is restricted to economics, business management economics, global economics, and economics combined majors.



Quarter offered

Winter, Spring