Gradient boosting

Also: GBDT, XGBoost, LightGBM

Building an ensemble of small decision trees in sequence, each one fitted to the errors the ones before it left. Still the thing to beat on tabular data.

A definition is not an understanding. This is taught properly in How the main algorithms actually work, part of Supervised learning.

Learn this properly

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