Lecture 17: Learning: Boosting

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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

Related Resources

Specifically developed for this lecture are the boosting notes (PDF), which are also listed among the readings for this course.

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