CS 5780

Last Updated

  • Schedule of Classes - March 17, 2025 8:55AM 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 REF-FA25/Corequisites REF-FA25 CS 2800, probability theory (e.g. BTRY 3080, ECON 3130, MATH 4710, ENGRD 2700), linear algebra (e.g. MATH 2940), calculus (e.g. MATH 1920), and programming proficiency (e.g. CS 2110). Corequisites: None.

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

Fees REF-FA25 30 (). course fee.

Last 4 terms offered (None)

View Enrollment Information

Syllabi: none

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

  • 4 Credits Opt NoAud

  •  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

  •  
    • TBA
    • Aug 25 - Dec 8, 2025

    • Choudhury, S

      Thickstun, J

  • Instruction Mode: In Person