Overview of advanced machine learning and AI methods in data science, theories and implementations in R software. Topics covered: regularized predictive models, featured screening and dimension reduction, random forest method, neural networks. Course Information: Extensive computer use required. Prerequisite(s): BSTT 413 and BSTT 505; or BSTT 525 or BSTT 527; or consent of the instructor and basic understanding of programming in R.