CS 5780

Last Updated

  • Schedule of Classes - January 15, 2024 7:50PM EST
  • Course Catalog - January 15, 2024 7:28PM EST

CS 5780
Introduction to Machine Learning

Course information provided by the Courses of Study 2023-2024.

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.

When Offered Fall, Spring.

Fees Course fee: $30.
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).

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one project. Combined with: CS 4780

  • 4 Credits Stdnt Opt

  •  7851 CS 5780   LEC 001

  •  
    • TR Bailey Hall 101
    • Aug 21 - Dec 4, 2023

    • Sun, W

  • Instruction Mode: In Person
    Direct enrollment is restricted to CS PhD, MS and MEng students. Seniors taking courses for M.Eng credit and all other graduate and professional students must add themselves to the waitlist during add/drop. Undergraduates who are not taking M.Eng credit will not be permitted and must enroll/waitlist for the 4xxx version. See website for details: http://www.cs.cornell.edu/courseinfo/enrollment/cs-4000-5000-level-courses

  • 19156 CS 5780   PRJ 601

  •  
    • TBA
    • Aug 21 - Dec 4, 2023

    • Sun, W

  • Instruction Mode: In Person