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Apr 20, 2024
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CS 6780 - Advanced Machine Learning Spring. 4 credits.
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 ). Enrollment limited to: PhD students or by permission of instructor. Students who have already taken CS 4780 /CS 5780 should not take this class.
Staff.
Gives a graduate-level introduction to machine learning and statistical pattern recognition 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, such as data mining, computer vision, robotics, text and web data processing. An open research project is a major part of the course.
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