COSC 74 Machine Learning and Statistical Data Analysis

This course provides an introduction to statistical modeling and machine learning. Topics include learning theory, supervised and unsupervised machine learning, statistical inference and prediction, and data mining. Applications of these techniques to a wide variety of data sets will be described.

Instructor

Preum (Fall), Casey, Jin (Winter), Yang (Spring)

Prerequisite

COSC 1 or ENGS 20; COSC 70/70.1(formerly COSC 11), or MATH 22, or MATH 24.

Degree Requirement Attributes

Dist:QDS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.

Offered

• Fall
• Spring
• Winter