Advanced Data Analytics for Industry

Catalog description

Credits 3. 3 Lecture Hours. 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.