Machine Learning, Neural Networks, Statistics, Data Science, AI.
if no counter-measure is used. Those counter-measures are called regularization techniques. Figure 1: An unregularized model can overfit to noise/outliers in the training data “Regularization is any modification we make to a learning algorithm that is intended to reduce its generalization error but