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What Is Active Learning in Machine Learning?
In episode 901 of the SuperDataScience podcast, Lilith Bat-Leah explains the principles of active learning for data labeling. She describes two primary strategies: relevance feedback for low-prevalence classes, and uncertainty sampling for more balanced datasets. Active learning is presented as a way to select training data more efficiently by ...
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