CS 3780

Last Updated

  • Schedule of Classes - April 14, 2026 7:07PM EDT

CS 3780
Introduction to Machine Learning

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 probability theory (e.g. STSCI 3080, CS 2800, ECON 3130, ENGRD 2700, MATH 4710) and linear algebra (e.g. MATH 2210, MATH 2310, MATH 2940), single-variable calculus (e.g. MATH 1110, MATH 1920) and programming proficiency (e.g. CS 2110).

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

Fees Course fee, $30. Course fee.

Distribution Requirements (OPHLS-AG), (SDS-AS)

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 5780

  • 4 Credits Stdnt Opt

  • 17323 CS 3780   LEC 001

  •  
    • TR
    • Aug 24 - Dec 7, 2026

    • Sridharan, K

      Thickstun, J

  • Instruction Mode: In Person

    Formerly CS 4780. Course content and difficulty unchanged; still fulfills 4000-level CS major requirements. Description available under CS 5780. Pre-enrollment is limited to CS majors; others can waitlist during Add/Drop.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 17324 CS 3780   PRJ 601

  •  
    • Aug 24 - Dec 7, 2026

    • Sridharan, K

      Thickstun, J

  • Instruction Mode: In Person