Machine Learning, Generalization, Regularization, Overfitting, Bias.
between training and validation loss. Regularization Regularization is a method to avoid high variance and overfitting as well as to increase generalization. Without getting into details, regularization aims to keep coefficients close to zero. Intuitively, it follows that the function the model