Regularization refers to a set of techniques used to prevent overfitting and improve the generalization of a model. Overfitting occurs when a model learns the training data too well, capturing noise and specific details that don't apply...
Regularization
L1Regularization
L2Regularization
What is regularization, and why is it used? Explain L1 and L2 regularization methods.
machine learning
Junior Level