CMPE 257 - Machine Learning

3 unit(s)
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(s): CMPE 180A, classified standing, or instructor consent. Artificial Intelligence or Computer Engineering or Software Engineering majors only.
Grading: Letter Graded

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