Machine Learning & Training

What Is Gradient Boosting?

Gradient boosting is a boosting method that builds an ensemble of models, usually decision trees, in a stage-wise manner. Each new model is trained to reduce the errors left by the previous ensemble, guided by the gradient of a loss function. It is a powerful approach for both regression and classification tasks.