Slides / VideoIntermediate
Sources of Bias in Machine Learning
Bias in ML can creep in through data collection, sampling, labeling, and historical patterns baked into the world.
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Bias in ML can creep in through data collection, sampling, labeling, and historical patterns baked into the world.