Regularization is a vital technique in Machine Learning designed to prevent Overfitting. It adds a penalty to a model's complexity, encouraging simpler solutions that generalize better to new, unseen data.
Regularization is a vital technique in Machine Learning designed to prevent Overfitting. It adds a penalty to a model's complexity, encouraging simpler solutions that generalize better to new, unseen data.