Ridge regularization is another name for L2 regularization, especially in statistics. It penalizes large model weights to reduce overfitting and improve generalization.
Synonym for L~2~ regularization. The term ridge regularization is more frequently used in pure statistics contexts, whereas L~2~ regularization is used more often in machine learning.