Stochastic Gradient, Machine Learning, AI, Gradient Descent.
fit. But there is a catch: with many features, there is a strong risk of overfitting — of learning a prediction function that is an artefact of the specific training data set, rather than one that captures something more fundamental, or able to work well outside of the training data. Thus there is