Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Mathematics.
features to zero. The model needs to be interpretable, and you want to identify the most significant features. Use L2 Regularization (Ridge) when: You deal with multicollinearity (high correlation among features) in your dataset. You have a smaller number of features, and you expect all of them to