CS 5780

Last Updated

  • Schedule of Classes - April 26, 2024 7:29PM EDT
  • Course Catalog - April 26, 2024 7:06PM EDT

CS 5780
Introduction to Machine Learning

Course information provided by the Courses of Study 2023-2024.

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, Spring.

Fees Course fee: $30.
Prerequisites/Corequisites Prerequisite: CS 2800, probability theory (e.g. BTRY 3080, ECON 3130, MATH 4710, ENGRD 2700) and linear algebra (e.g. MATH 2940), calculus (e.g. MATH 1920) and programming proficiency (e.g. CS 2110).

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 4780

  • 4 Credits Opt NoAud

  •  9448 CS 5780   LEC 001

  •  
    • TR Uris Hall G01
    • Jan 22 - May 7, 2024

    • Sridharan, K

      Weinberger, K

  • Instruction Mode: In Person
    Enrollment limited to CS MEng and CS early admit students only. All others should add themselves to the waitlist in January during add/drop.

  • 16640 CS 5780   PRJ 601

  •  
    • TBA
    • Jan 22 - May 7, 2024

    • Staff

  • Instruction Mode: In Person