STAT 6620 - Statistical Learning with R

Units: 4
Introduction to machine learning, including supervised learning such as regression, logistic regression and classification methods. Re-sampling methods such as cross-validation and bootstrap. Unsupervised learning. Applications to data mining, statistical pattern recognition, and data processing. Strongly Recommended: Experience with R. Prerequisites: STAT 6509 , STAT 6260 .