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Lecture 17: Learning: Boosting

Description: Can multiple weak classifiers be used to make a strong one? We examine the boosting algorithm, which adjusts the weight of each classifier, and work through the math. We end with how boosting doesn’t seem to overfit, and mention some applications.

Instructor: Patrick H. Winston

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