Machine Learning, Overfitting, Regularization, Artificial Intelligence, Data Science.
hold-out, cross-validation allows all data to be eventually used for training but is also more computationally expensive than hold-out. 3. Data augmentation (data) A larger dataset would reduce overfitting. If we cannot gather more data and are constrained to the data we have in our current