CS 3780
Last Updated
- Schedule of Classes - March 17, 2025 8:55AM EDT
Classes
CS 3780
Course Description
Course information provided by the 2025-2026 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 REF-FA25/Corequisites REF-FA25 probability theory (e.g. BTRY 3080, CS 2800, ECON 3130, ENGRD 2700, MATH 4710) and linear algebra (e.g. MATH 2210, MATH 2310, MATH 2940), single-variable calculus (e.g. MATH 1110, MATH 1920) and programming proficiency (e.g. CS 2110). Corequisites: None.
Forbidden Overlaps REF-FA25 CS 3780, CS 5780, ECE 3200, ECE 5420, ORIE 3741, ORIE 5741, STSCI 3740, STSCI 5740
Fees REF-FA25 30 (). course fee.
Distribution Requirements (OPHLS-AG), (SDS-AS)
Last 4 terms offered (None)
Regular Academic Session. Choose one lecture and one project. Combined with: CS 5780
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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
- Aug 25 - Dec 8, 2025
Instructors
Choudhury, S
Thickstun, J
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Additional Information
Instruction Mode: In Person
Formerly CS 4780. Course content and difficulty unchanged; still fulfills 4000-level CS major requirements. Description available under CS 5780. Prerequisites: Probability theory (e.g., BTRY 3080, ECON 3130, MATH 4710, ENGRD 2700, CS 2800), linear algebra (e.g., MATH 2210, MATH 2940, MATH 2310), single-variable calculus (e.g. MATH 1910, MATH 1110), and programming proficiency (e.g., CS 2110). Pre-enrollment is limited to CS majors; others can waitlist during Add/Drop. Forbidden overlaps: ECE 3200 (previously ECE 4200), ORIE 3741 (previously ORIE 4741), STSCI 3740 (previously STSCI 4740).
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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