Machine Learning, Generalization, Regularization, Overfitting, Bias.
encounter different forms, such as dropout regularization in neural networks. Regularization can help avoid high variance and overfitting. To sum it all up, learning is well and good, but generalization is what we really want. For that matter, a good model is supposed to have both low bias and low