[MINI] AdaBoost

Data Skeptic - Podcast autorstwa Kyle Polich

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AdaBoost is a canonical example of the class of AnyBoost algorithms that create ensembles of weak learners. We discuss how a complex problem like predicting restaurant failure (which is surely caused by different problems in different situations) might benefit from this technique.

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