Machine Learning, Neural Networks, Statistics, Data Science, AI.
representative of any large enough sample of future unseen data (or a test set). In short, the more representative the training set, the less overfitting there is to be done. In this sense, scaling the regularization term down as the number of examples increases encodes the notion that the more