CS 3780

Last Updated

  • Schedule of Classes - June 11, 2025 2:48PM EDT

CS 3780
Introduction to Machine Learning

Course information provided by the 2025-2026 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.


Forbidden Overlaps REF-FA25 CS 3780, CS 5780, ECE 3200, ECE 5420, ORIE 3741, ORIE 5741, STSCI 3740, STSCI 5740

Fees REF-FA25 Course fee, $30. Course fee.

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

Last 3 terms offered 2025SP, 2024FA, 2024SP

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 5780

  • 4 Credits Stdnt Opt

  •  4913 CS 3780   LEC 001

  •  
    • TR
    • Aug 25 - Dec 8, 2025

    • Choudhury, S

      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. Prerequisites: Probability theory (e.g., BTRY 3080, ECON 3130, MATH 4710, ENGRD 2700, CS 2800), linear algebra (e.g., MATH 2210, MATH 2940, MATH 2310), single-variable calculus (e.g. MATH 1910, MATH 1110), and programming proficiency (e.g., CS 2110). Pre-enrollment is limited to CS majors; others can waitlist during Add/Drop. Forbidden overlaps: ECE 3200 (previously ECE 4200), ORIE 3741 (previously ORIE 4741), STSCI 3740 (previously STSCI 4740).
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  7152 CS 3780   PRJ 601

  •  
    • TBA
    • Aug 25 - Dec 8, 2025

    • Choudhury, S

      Thickstun, J

  • Instruction Mode: In Person