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How are batch learning algorithms typically used?Select one:a.To predict continuous values in batch modeb.To predict continuous values in real-timec.To classify data in batch moded.To classify data in real-time

Question

How are batch learning algorithms typically used?Select one:a.To predict continuous values in batch modeb.To predict continuous values in real-timec.To classify data in batch moded.To classify data in real-time

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Solution

Batch learning algorithms are typically used to classify data in batch mode. So, the correct answer is c. To classify data in batch mode.

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What is an example of a batch learning algorithm used for feature selection tasks?Select one:a.Recursive feature eliminationb.Mutual informationc.All of the aboved.Variance threshold

What are some disadvantages of batch learning algorithms?Select one:a.They are prone to overfittingb.They require a small amount of datac.They are slow to adapt to changes in the datad.They require a large amount of resources

explain batch operating system

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