Regularization

you need to read this  As someone who did a Bachelors in Mathematics I used to be first introduced to L¹ and L² as a measure of Distance… now it appears to be a measure...

is the technique of choosing an optimal subset of features from a given set of features; an optimal feature subset is the one which maximizes the performance of the model on the given...

Why do L1 and L2 regularization lead to model sparsity and weight shrinkage? What about L3 regularization? Keep reading to search out out more!Co-authored with Naresh Singh.After reading this text, you’ll be thoroughly equipped...

I’m glad you brought up this query. To get straight to the purpose, we typically avoid p values lower than 1 because they result in non-convex optimization problems. Let me illustrate this with a...