Difference between Lasso and Ridge regression

Hi,

I understand that in Lasso regression, sum of weights are added to the cost function. And in Ridge regression, sum of squares of weights are added to the cost function.

Mathematically, how do these two differ? How do they affect the update of weights after every iteration? How do they affect the final performance of the model?

Thank you

Hi there,

Interesting question but I think its a broad question, you can search in the web about these there is plenty of information on both and more. One such link I found is this Linear, ridge, lasso…

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