l2-ridge-l1-lasso-regularization

IN premise — entries/2026/06/21/wiki-Supervised_learning-chunk-2.md

Created 2026-06-21T09:55:53+00:00

L2 regularization (sum of squared weights) is ridge regression; L1 regularization (sum of absolute weights) is lasso and induces sparsity; L0 counts non-zero weights