Machine Learning, Generalization, Regularization, Overfitting, Bias.
still capacity to learn, so you would simply train for more iterations or collect more data. Importantly, biases may also be hidden in the training data — which is easily overlooked. Your training loss may decrease as usual in that case. Only testing on real data can reveal any such bias. Variance