ECGR 5105 - Introduction to Machine Learning

Machine learning is a sub-field of Artificial Intelligence that gives computers the ability to learn and/or act without being explicitly programmed. This course covers the necessary theory, principles, and algorithms for machine learning. Topics include: supervised, unsupervised learning approaches (including deep learning), optimization procedures, and statistical inference. Students digest and practice their knowledge and skills by class discussion, homework, and exams, as well as obtain in-depth experience with a particular topic through a final project.

Credit Hours: (3)
Cross-listed Course(s): ECGR 4105

Schedule of Classes