CS 6780 - [Advanced Machine Learning]

Spring. Not offered 2017-2018. 4 credits. Student option grading.

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: Ph.D. students or 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.