Texas A&M University 3 credits ECEN
Optimal classification; parametric and nonparametric classification; support vector machines; neural networks; decision trees; error estimation; dimensionality reduction; model selection; Vapnik-Chervonenkis theory; least-squares regression; Gaussian process regression. Prerequisite: Graduate classification; undergraduate probability theory and python programming skills; or approval of instructor.
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