 Regularization (mathematics)

Regularization is a mathematical technique used primarily in statistical modeling and machine learning to prevent overfitting. Overfitting occurs when a model learns the noise in the training data rather than the underlying distribution, which can lead to poor generalization to new, unseen data. The basic idea behind regularization is to impose a penalty on the complexity of the model.