STAT 712. Applied Statistical Machine Learning. 3 Credits.
This course provides several fundamental concepts and methods in statistical machine learning: linear method for regression, linear method for classification, KNN, regression tree, classification tree, bagging, random forest, boosting, support vector machine, neural networks, K-means clustering. Knowledge of basic inferential statistical methods is expected. Restriction: This course is one of the courses for the Certificate of Applied Big Data Analysis and it may not be used for the M.S. or Ph.D. in Statistics.