Machine Learning, Generalization, Regularization, Overfitting, Bias.
represents is simpler, less unsteady. So predictions are smoother and overfitting is less likely (graphic below). Regularization can be as simple as shrinking or penalizing large coefficients — often called weight decay. L1 and L2 regularization are two widely used methods. But you may also