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CMPE 257

Machine Learning

Description
Machine learning concepts, feasibility and learning types, theory of generalization, bias and variance, linear models for classification and regression, nonlinear transformation, regularization and validation, kernel methods, radial basis functions, support vector machines, ensemble methods, neural networks, and hands-on projects. Prerequisite: CMPE 180A, classified standing, or instructor consent. Computer Engineering and Software Engineering Majors only.

Grading
Normal Grade Rules

Units
3