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Model Selection
Model Selection
Model Selection is a way to fit parameters such as
learning rate $\alpha$ for
Gradient Descent
regularization term $\lambda$ for
Regularization
what degree of polynomial to use (see
Cross-Validation#Cross-Validation
)
and so on
Criteria for Model Selection
Cross-Validation
Sources
Machine Learning (coursera)
Category
:
Machine Learning