— Statistical Data Science III

Prerequisites & course information

Course Description: Introduction to statistical learning; Bayesian paradigm; model selection; simultaneous inference; bootstrap and cross validation; classification and clustering methods; PCA; nonparametric smoothing techniques. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL); Scientific Literacy (SL). Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Grade Mode: Letter. General Education: Science & Engineering (SE); Quantitative Literacy (QL); Scientific Literacy (SL).