Lecture 6: Model Validation and Selection
- What is KNN? What is special about KNN? Can you apply KNN for regression problem?
- What is difference between model parameters and hyper-parameters?
- How do you deteremine the values of hyper-parameters?
- LOOCV V.S. KFCV V.S. Bootstrap
- Why applying stepwise selection methods has the risk of local optimal solution trap?
- What is the difference between ridge regression and LASSO?
- What is the hyper-parameter in regularization methods? What is the its role?
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