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Minsek Ko

Prof, ast
Business & Information Tech
301 W. 14th St
Rolla, MO 65409

573/341-4594 | mkw48@mst.edu

IST 5535: Machine Learning Algorithms and Applications

Introduces techniques of modern machine learning methods with applications in marketing, finance, and other business disciplines. Topics include regression, classification, resampling methods, model selection, regularization, decision trees, support vector machines, principal component analysis, and clustering. R programming is required.

Time/Day: 01:00 PM - 01:50 PM MWF
Prerequisites: One of Stat 3111, Stat 3113, Stat 3115, Stat 3117; one of IS&T 1552, IS&T 1562, Comp Sci 1575; or Graduate Standing with knowledge of calculus, statistics, and programming.
Units: 3
Course Component(s): Lecture

Attention Distance Students

For live class lectures, you will log in using the Zoom UM System link in Canvas. For accessing class recordings, you will need to contact your instructor directly.

Enrollment Information
Campus Delivery Mode Class Status Class Nbr Section
Distance Education Online OPEN 72720 102

Course Access Information
Learning Management System Canvas