CS 4780

CS 4780

Course information provided by the Courses of Study 2020-2021. Courses of Study 2021-2022 is scheduled to publish by July 1.

The course provides an introduction to machine learning, focusing on supervised learning and its theoretical foundations. Topics include regularized linear models, boosting, kernels, deep networks, generative models, online learning, and ethical questions arising in ML applications.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: probability theory (e.g. BTRY 3080, ECON 3130, MATH 4710, ENGRD 2700) and linear algebra (e.g. MATH 2940) and calculus (e.g. MATH 1920) and programming proficiency (e.g. CS 2110).

Distribution Category (SDS-AS)

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Enrollment Information
Syllabi: none
  •   Regular Academic Session.  Combined with: CS 5780

  • 4 Credits Stdnt Opt