An introduction to exploratory data analysis including graphical summaries, model assessment and selection, model inference and averaging, and data mining elements. Explores supervised statistical learning for regression and classification, unsupervised machine learning algorithms, and related topics. Meets with STAT-424. Usually offered every spring. Prerequisite:STAT-520 or STAT-615.
