Texas A&M University 3 credits ISEN
Data mining; linear discriminant analysis (LDA), principal component analysis (PCA) and other methods; classification, clustering, and mining, information extraction; dealing with uncertainty, Bayesian inference; neural models, regression and feature selection. Prerequisites: Grade of C or better in ISEN 310 and ISEN 350; junior or senior classification.
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