7.4 Boosting and AdaBoost (L07: Ensemble Methods)

Sebastian's books: https://sebastianraschka.com/books/

This video discusses the general concept behind boosting -- one of the model ensembling approaches in machine learning. Then, it goes over an early boosting algorithm and approach called adaptive boosting (AdaBoost), which boosts weak learners (i.e., decision tree stumps) to strong classifiers.

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This video is part of my Introduction of Machine Learning course.

Next video: 7.5 Gradient Boosting (L07: Ensemble ...

The complete playlist: Intro to Machine Learning and Statist...

A handy overview page with links to the materials: https://sebastianraschka.com/blog/202...

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