Ridge regression is also known as Tikhonov regularization - a method of regularization of ill-posed regression problems.
lasso(least absolute shrinkage and selection operator; also Lasso or LASSO) is a regression analysis method that performs both variable selection and regularization in order to enhance the prediction accuracy and interpret-ability of the statistical model it produces
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Ridge regression is also known as Tikhonov regularization - a method of regularization of ill-posed regression problems.
lasso (least absolute shrinkage and selection operator; also Lasso or LASSO) is a regression analysis method that performs both variable selection and regularization in order to enhance the prediction accuracy and interpret-ability of the statistical model it produces
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