Lecture

Crash course on ensemble methods: Bagging and Boosting

In course

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Description

This lecture introduces ensemble methods, focusing on Bagging and Boosting. It covers the concept of weak learnability leading to strong learnability, the AdaBoost algorithm for combining weak classifiers, and the process of setting weights at each time step. The instructor explains the iterative process of adding new classifiers, adapting weights, and re-weighting instances based on misclassifications.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_15852hqn

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Ontological neighbourhood

Information engineering

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