CS 5780
Last Updated
- Schedule of Classes - January 19, 2016 6:14PM EST
- Course Catalog - January 19, 2016 6:21PM EST
Classes
CS 5780
Course Description
Course information provided by the 2015-2016 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 Prequisite: 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 Fall.
Regular Academic Session. Combined with: CS 4780
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Credits and Grading Basis
4 Credits Stdnt Opt(Student Option)
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Class Number & Section Details
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Meeting Pattern
- MWF Ives Hall 305
Instructors
Weinberger, K
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Additional Information
Instruction Mode: In Person
Enrollment limited to: MEng standing required.
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