CS 5780
Last Updated
- Schedule of Classes - August 2, 2023 12:50PM EDT
- Course Catalog - April 3, 2023 12:59PM EDT
Classes
CS 5780
Course Description
Course information provided by the Courses of Study 2022-2023. Courses of Study 2022-2023 is scheduled to publish mid-June.
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.
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).
Regular Academic Session. Combined with: CS 4780
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR
- Aug 22 - Dec 5, 2022
Instructors
Damle, A
Sun, W
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Additional Information
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
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