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 (with a “C” or better grade).
Grading: Letter Graded.

Note(s): This course satisfies graduate-level GWAR in this master’s program. This course does NOT satisfy the undergraduate Writing in the Disciplines (WID) requirement.

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