Machine Learning, Generalization, Regularization, Overfitting, Bias.
unrealistic, however, as data is almost always noisy in reality, so some bias is inevitable — called the irreducible error. Anyway, if losses do not decrease as expected, it probably signals that the model is not a good fit for the data. It would happen, for example, if you tried to fit an