CS 5780

CS 5780

Course information provided by the 2026-2027 Catalog.

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.


Prerequisites CS 2800; STSCI 3080 or ECON 3130 or MATH 4710 or ENGRD 2700; MATH 2940; MATH 1920; CS 2110; or equivalents.

Forbidden Overlaps CS 3780, CS 5780, ECE 3200, ECE 5420, ORIE 3741, ORIE 5741, STSCI 3740, STSCI 5740

Fees Course fee, $30.

Last 4 Terms Offered 2026SP, 2025FA, 2025SP, 2024FA

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 3780

  • 4 Credits Stdnt Opt

  • 17489 CS 5780   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Sridharan, K

      Thickstun, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17490 CS 5780   PRJ 601

    • Aug 24 - Dec 7, 2026
    • Sridharan, K

      Thickstun, J

  • Instruction Mode: In Person