Evaluating a Learning Algorithm
#Andrew_Ng:_Machine_Learning_Cource
TOC
Bias vs Variance
Diagnosing Bias vs. Variance
Regularization and Bias/Variance
Learning Curves
Deciding What to Do Next Revisited
Building a Spam Classifier
Handling Skewed Data
Using Large Data Sets
Memo
正則化とCVコスト関数