In this program
- Linear regression as a learning method
- Subset selection and shrinkage: ridge and lasso
- Bias-variance tradeoff
- Cross-validation
- Model selection
- Polynomial and spline regression
Linear methods for prediction
Subset selection and shrinkage: ridge and lasso
Statistical learning · Standard syllabus
Topic
Subset selection and shrinkage: ridge and lasso
Undergraduate Statistical learning — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).