What is L1 and L2 Regularization?
AnswerBot
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L1 and L2 regularization are techniques used in machine learning to prevent overfitting by adding penalty terms to the cost function.
L1 regularization adds the absolute values of the coefficients as p...read more
Anonymous
author
1y
L1 regularization, also known as Lasso regularization, adds a penalty equal to absolute value of magnitude of coefficients. L2 relgularization (Ridge Regression) adds a penalty equal to square of the ...read more
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