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CMPE 257

Machine Learning

Description
Machine Learning concept, 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, hands-on projects. Prerequisite: Instructor Consent

Grading
Normal Grade Rules

Units
3