Course Schedule and Catalog

Long Title: DATA MINING AND STATISTICAL LEARNING

Department: Statistics

Grade Mode: Standard Letter

Language of Instruction: Taught in English

Course Type: Lecture

Credit Hours: 3

Description: Survey of ideas, methods, and tools for analyzing large data sets. Topics from supervised and unsupervised learning include penalized regression and classification, support vector machines, kernel methods, model selection, matrix factorizations and completion, graphical models, clustering, boosting and ensemble learning. STAT 640 will have advanced assignments and exams focusing on theory and methods. Graduate/Undergraduate Equivalency: STAT 444. Mutually Exclusive: Cannot register for STAT 640 if student has credit for STAT 444.