Introduction to Statistical Learning. (3 h)

An introduction to supervised learning. Topics may include lasso and ridge regression, splines, generalized additive models, random forests, and support vector machines. P- STA 112 and MTH 121 or 205 , or prerequisite override required, experience with statistical computing.