CS 6780
Last Updated
- Schedule of Classes - June 2, 2019 7:14PM EDT
- Course Catalog - June 2, 2019 7:15PM EDT
Classes
CS 6780
Course Description
Course information provided by the Courses of Study 2018-2019.
Gives a graduate-level introduction to machine learning and in-depth coverage of new and advanced methods in machine learning, as well as their underlying theory. Emphasizes approaches with practical relevance and discusses a number of recent applications of machine learning in areas like information retrieval, recommender systems, data mining, computer vision, natural language processing and robotics. An open research project is a major part of the course.
When Offered Spring.
Permission Note Enrollment limited to: Ph.D. students or permission of instructor.
Prerequisites/Corequisites Prerequisite: programming skills (at the level of CS 2110) and basic knowledge of linear algebra (at the level of MATH 2940) and probability theory (at the level of MATH 4710) and multivariable calculus (at the level of MATH 1920).
Regular Academic Session. Combined with: CS 6780
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRBill and Melinda Gates Hll G01
Instructors
Joachims, T
Regular Academic Session. Combined with: CS 6780
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
Class Number & Section Details
Meeting Pattern
- TRBloomberg Center 91
Cornell Tech Instructors
Joachims, T
- TRBloomberg Center 91
Additional Information
Instruction Mode: Distance Learning-Synchronous
Taught in NYC. Enrollment limited to Cornell Tech Students. Class streamed from Ithaca.
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