Description

Lecture, four hours; discussion, one hour; outside study, seven hours. Introduction of variety of scalable data modeling tools, both predictive and causal, from different disciplines. Topics include supervised and unsupervised data modeling tools from machine learning, such as support vector machines, different regression engines, different types of regularization and kernel … For more content click the Read More button below.

Instructional Format

Primary Format

Lecture

Secondary Format

Discussion

Additional Format

Outside study