7.4 Boosting and AdaBoost (L07: Ensemble Methods)
October 22, 2020
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39:40Now Playing7.4 Boosting and AdaBoost (L07: Ensemble Methods)
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as posted by the channelSebastian's 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.
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