Explain the difference between Lasso and Ridge?

2 years ago
Machine Learning

Lasso(L1) and Ridge(L2) are the regularization techniques where we penalize the coefficients to find the optimum solution. In ridge, the penalty function is defined by the sum of the squares of the coefficients and for the Lasso, we penalize the sum of the absolute values of the coefficients. Another type of regularization method is ElasticNet, it is a hybrid penalizing function of both lasso and ridge. 

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Sanisha Maharjan
Sanisha Maharjan
Jan 12, 2022
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