Machine Learning & Training

What Is Boosting?

Boosting is an ensemble technique that builds models sequentially, where each new model focuses on the mistakes of the previous ones. By combining many weak learners, boosting produces a strong overall model. Popular implementations include gradient boosting, XGBoost, and LightGBM.