Regularization

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.

See also

• Loss Function
• Bias Variance
• Deep Learning
• Validation Set