Artificial Intelligence / AI 0401 · Atom · ~20 seconds
Learning from Examples
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Supervised learning turns training examples — inputs paired with correct outputs — into a predictor for new cases shown only their inputs.
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The inputs are features, the output is the target, and the examples are the only teacher present.
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Whatever the predictor comes to know, it must extract from the pile — nobody supplies rules or theory.