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Machine Learning

What is the difference between boosting and bagging?

In bagging we take boostrap samples of the data (with replacement) and each sample trains a weak learner. And boosting uses all data to train each learner and then average the result using a weighted average approach.

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Card 1 of 197. Answer: In bagging we take boostrap samples of the data (with replacement) and each sample trains a weak learner. And boosting uses all data to train each learner and then average the result using a weighted average approach.

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