bias 더하고, variance 줄이는 방법으로 regulation 수행
Regularization concept is first adapted to Ridge Regression model
not like linear regression, focus on Regularizer too not only on Fitting error
find 0 point in function derivation by
- controls the tradeoff between Fitting error, Regularizer (overfitting and underfitting)
alpha, lamda, regularization parameter, penalty term is same