Machine Learning, Data Science, Overfitting, Underfitting.
Regularization / Less Regularization This point is very closely related to the previous one. In fact, regularization is an indirect and forced simplification of the model. The regularization term requires the model to keep parameter values as small as possible, so requires the model to be as simple