This course introduces foundational theories and techniques in machine learning. Topics will include basics of machine learning, learning theory, various regression and classification models, as well as unsupervised learning methods. Students will implement course concepts in intensive programming assignments and mini-projects.
Time/Day: 01:00 PM - 01:50 PM MWF Prerequisites: A grade of "C" or better in Comp Sci 2500, Math 3108, and one of Stat 3113, Stat 3115, Stat 3117, or Stat 5643. Units: 3 Course Component(s): Lecture |
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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 |
Main Missouri S&T Campus | Online | OPEN | 73065 | 102 |
Course Access Information | ||||
Learning Management System | Canvas |