CS 5780
Last Updated
- Schedule of Classes - September 10, 2024 10:17AM EDT
- Course Catalog - September 10, 2024 9:19AM EDT
Classes
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CS 5780
Course Description
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).
Regular Academic Session. Choose one lecture and one project. Combined with: CS 4780
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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 Uris Hall G01
- Jan 22 - May 7, 2024
Instructors
Sridharan, K
Weinberger, K
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Additional Information
Enrollment limited to CS MEng and CS early admit students only. All others should add themselves to the waitlist in January during add/drop.
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