+**Boosting** is an [ensemble learning](/wiki/ensemble_learning) meta-algorithm primarily used in [machine learning](/wiki/machine_learning) to reduce bias and variance. It sequentially builds a strong predictive model from a series of weak learners, with each new learner focusing on the errors of its predecessors.
+## See also
+- [AdaBoost](/wiki/adaboost)
+- [Gradient Boosting](/wiki/gradient_boosting)
+- [Decision Tree](/wiki/decision_tree)
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