CMPS620

Download as PDF

MACHINE LEARNING

Computer Science (CMPS) Graduate Science

Course Description

This course provides students with the mathematical underpinnings of machine learning along with the software development skills to develop models and integrate machine learning into practical applications. Topics include foundational techniques such as linear and logistic regression and extend to deep learning and other state of the art techniques. Students will also obtain an understanding of both the capabilities and limitations of machine learning, and its responsible applications.

Course Attributes

DATA COURSE FOR GRAD FEE ASSES (MDAT)