Lecture 17: Learning: Boosting

Name: Lecture 17: Learning: Boosting
Uploaded: 2014-01-10T19:38:12Z
Duration: 51 min 40 s
Description: 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

51:40

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