Machine Learning, Data Science, Overfitting, Underfitting.
methods are: Early stopping, Dropout, L1 and L2 Regularization. You can read about them in this article. Opposite, in the case when the model needs to be complicated, you should reduce the influence of regularization terms or abandon the regularization at all and see what happens. More Features /