CS 5780

Last Updated

  • Schedule of Classes - January 5, 2026 3:59PM EST
  • Course Catalog - May 29, 2024 10:20AM EDT

CS 5780
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.


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).

Fees Course fee: $30.

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

When Offered Fall, Spring.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 3780

  • 4 Credits Stdnt Opt

  •  4931 CS 5780   LEC 001

  •  
    • TR
    • Aug 25 - Dec 8, 2025

    • Choudhury, S

      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/

  •  7153 CS 5780   PRJ 601

  •  
    • Aug 25 - Dec 8, 2025

    • Choudhury, S

      Thickstun, J

  • Instruction Mode: In Person