Subject: 
Economics (ECON)
Catalog number: 
626
Unit weight: 
0.50
Meet type: 
LEC
Grading basis: 
NUM
Cross-listing(s): 
N/A
Requisites: 
Instructor Consent Required
Description: 
This course explores a variety of machine learning methods used to analyze complex economic data and inform policy decisions. The course introduces students to predictive methods and exploratory data analysis for high-dimensional data. These methods, such as decision trees and neural networks, are applied to observational data with an emphasis on the analysis of large and/or complex datasets of interest to social scientists and policy makers
Topic titles: 
N/A
Faculty: 
Arts (ART)
Academic level: 
GRD
Course ID: 
016291