Machine Learning, Deep Learning, Artificial Intelligence, AI, Neural Networks.
using different data set. Therefore, we can control only the variance and the bias of the ŷ BUT NOT irreducible error. As a result, our job is to try to estimate the right level of complexity to achieve the lowest test error. Regularization Regularization adds stability to the learning algorithm