CS 5780

Last Updated

  • Schedule of Classes - July 3, 2025 11:18AM 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 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).

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 2025SP, 2024FA, 2024SP, 2023FA

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

  •  
    • Aug 25 - Dec 8, 2025

    • Choudhury, S

      Thickstun, J

  • Instruction Mode: In Person