Units: 4
Hours: Lecture, 3 hours; laboratory, 1 hour; individual study, 2 hours; term paper, 1 hour
Catalog page 318
Prerequisites: ECON 107; or consent of instructor
Description: Provides a basic knowledge of the theory and implementation of machine learning methods, with applications in economics, business and finance. Covers methods including cross-validation, Lasso, non-linear models, factor models, tree-based methods, neural networks and ethics. Also includes extensive use of computer coding and analysis.