DS 6410 - Machine Learning II: Methods & Application

Effective Date 09/28/2022
Fundamentals of data mining and machine learning within a common statistical framework. Topics include boosting, ensembles, Support Vector Machines, model-based clustering, forecasting, neural networks, recommender systems, market basket analysis, and network centrality.

Credits: 3
Grading Basis Graded