CSCI 567 Machine Learning

Units: 4
Terms Offered: Fa

Statistical methods for building intelligent and adaptive systems that improve performance from experiences; focus on theoretical understanding of these methods and their computational implications.
Recommended Preparation: Undergraduate level training or course work in linear algebra, multivariate calculus, basic probability and statistics; an undergraduate level course in Artificial Intelligence may be helpful but is not required.
Instruction Mode: Lecture, Discussion
Grading Option: Letter

Crosslisted as ISE-568