DATA 245 - Machine Learning Technologies

3 unit(s)
Learn concepts, techniques and algorithms in machine learning for the development of real-world applications; build, evaluate and refine machine learning models to predict patterns from trained data sets; apply supervised and unsupervised learning methodologies in solving classification and regression problems.

Prerequisite(s): DATA 220 and DATA 225, or instructor consent.
Grading: Letter Graded

Class Schedule | Syllabus Information | University Bookstore