CS 5780
Last Updated
- Schedule of Classes - February 12, 2019 8:29PM EST
- Course Catalog - January 26, 2019 2:00PM EST
Classes
CS 5780
Course Description
Course information provided by the 2018-2019 Catalog.
An introduction to machine learning for intelligent systems (e.g. search engines, recommender systems, ad placement). Topics include supervised learning, statistical learning theory, and online learning. This course can be taken independently or in any order with CS 4786/CS 5786.
Prerequisites/Corequisites Prerequisite: probability theory (BTRY 3080, ECON 3130, MATH 4710, or strong performance in ENGRD 2700 or equivalent); linear algebra (MATH 2940 or equivalent); CS 2110 or equivalent programming proficiency.
When Offered Spring.
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 Statler Hall 185-Aud
Instructors
Weinberger, K
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Additional Information
Instruction Mode: In Person
Enrollment limited to CIS students only. All others may add themselves to the waitlist during add/drop. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates. It is expected that undergraduate students enroll in the 4000-level section of this class and graduate students enroll in the 5000-level section of this class.
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