DATA 245 - Machine Learning Technologies

3 units
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: Graded

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