Introduction to Machine Learning for Public Policy

Subject:

Political Science (PSCI)

Catalog number:

637

Unit weight:

0.50

Meet type:

RDG,SEM

Grading basis:

NUM

Cross-listing(s):

N/A

Requisites:

N/A

Description:

This course is an introduction to machine learning and other complex statistical methods that can be used to analyze a wide array of policy issues based on the use of open data. Learners must have knowledge of multivariate regression methods and be trained in the basic use of python or R to take this course.

Topic titles:

N/A

Faculty:

Arts (ART)

Academic level:

GRD

Course ID:

002436