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Math & Optimization · intermediate · concept 63 of 311 · Updated Nov 4, 2026

Boosting (XGBoost, LightGBM)

An ensemble technique that combines many weak learners (usually decision trees) sequentially, with each new tree correcting the errors of previous ones. XGBoost and LightGBM dominate Kaggle competitions.

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Key terms

Gradient boostingXGBoostLightGBMCatBoostEnsemble

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Where you meet it in the real world

Tabular data competitions, ranking systems, click prediction

Videos

▶ AdaBoost, Clearly Explained ↗

StatQuest with Josh Starmer · YouTube

▶ 17. Learning: Boosting ↗

MIT OpenCourseWare · YouTube

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