CS 5780

Last Updated

  • Schedule of Classes - June 8, 2025 7:22PM EDT
  • Course Catalog - June 8, 2025 7:07PM EDT

CS 5780
Introduction to Machine Learning

Course information provided by the 2024-2025 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), linear algebra (e.g. MATH 2940), calculus (e.g. MATH 1920), and programming proficiency (e.g. CS 2110).

Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will not receive credit for both CS 3780 (and the former) CS 4780/5780, ECE 3200 (and the former ECE 4200), ORIE 3741 (and the former ORIE 4741/5741), STSCI 3740 (and the former STSCI 4740/5740).

Fees Course fee: $30.

When Offered Fall, Spring.

View Enrollment Information

Syllabi: none

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

  • 4 Credits Opt NoAud

  •  7392 CS 5780   LEC 001

  •  
    • TR
    • Jan 21 - May 6, 2025

    • Gangavarapu, T

      Sridharan, K

  • Instruction Mode: In Person

    Enrollment limited to: Master of Engineering (M.Eng.), Computer Science (CS) students, and Computer Science Early Admit students.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  8765 CS 5780   PRJ 601

  •  
    • Jan 21 - May 6, 2025

    • Gangavarapu, T

      Sridharan, K

  • Instruction Mode: In Person