View All Courses
Distance Enrollment
Course Number Conversion
Instructor: Chen, Langtao
Email: chenla@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: 02:00 PM - 02:50 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 classes produced by I.T. MediaServices: Access to live and archived media will be available in MediaSpace at mst.mediaspace.kaltura.com or in Panopto at mst.hosted.panopto.com. For more information email itms@mst.edu.
For other course content: please contact your instructor.
| Enrollment Information | ||||
| Campus | Delivery Mode | Class Status | Class Nbr | Section |
| Distance Education | Internet | OPEN | 73164 | 1DIS |
| Course Access Information | ||||
| Learning Management System | Canvas | |||