Machine Learning, Deep Learning, Artificial Intelligence, Regularization, Deep Learning Book.
broken into K parts by sampling with replacement (see figure below for clarity) and a model is trained on each of those K parts. Because of sampling with replacement, the K parts have a few similarities as well as a few differences. These differences cause the difference in the predictions of the K