AI, Supervised Learning, Machine Learning.
discouraging overly complex models. It is particularly useful when there is multicollinearity among the input features. Lasso regression. Lasso regression is also a regularized linear regression method. However, Lasso uses L1 regularization, which tends to produce sparse models by driving some