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GlossaryMachine LearningBoosting

Boosting

[ˈbustɪŋ]
Machine Learning
Last updated: December 9, 2024

Definition

An ensemble method that sequentially improves weak learners.

Detailed Explanation

Boosting combines weak learners sequentially each focusing on correcting the errors of the previous one. This results in a strong learner with improved accuracy and reduced bias.

Use Cases

Gradient Boosting Machines AdaBoost XGBoost handling complex datasets improving model performance.

Related Terms

Pruning

A technique for reducing model size by removing unnecessary connections or neurons. This process identifies and eliminates redundant or less important parameters.

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Optimization algorithms inspired by natural selection that evolve solutions through mutation and crossover operations.

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Meta-Learning

A learning paradigm where AI systems learn how to learn more efficiently from experience.

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