CS 5780
Last Updated
- Schedule of Classes - June 21, 2024 12:50PM EDT
- Course Catalog - June 6, 2024 12:59PM EDT
Classes
CS 5780
Course Description
Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 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.
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).
Fees Course fee: $30.
Last 4 Terms Offered (None)
When Offered Fall, Spring.
Regular Academic Session. Choose one lecture and one project. Combined with: CS 3780
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Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
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Class Number & Section Details
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Meeting Pattern
- TR
- Jan 21 - May 6, 2025
Instructors
Sridharan, K
Weinberger, K
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Additional Information
Instruction Mode: In Person
Enrollment is limited to: Master of Engineering (M.Eng.), Computer Science (CS) students, and Computer Science Early Admit students.
For Bowers CIS Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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