+Supervised learning is a core [Machine Learning](/wiki/machine_learning) paradigm where an algorithm learns to map input [Data](/wiki/data) to desired output [Labels](/wiki/label). It builds a model by observing many examples of correctly tagged information, then uses this knowledge to predict outcomes for new, unlabeled inputs.
+## See also
+- [Unsupervised Learning](/wiki/unsupervised_learning)
+- [Reinforcement Learning](/wiki/reinforcement_learning)
+- [Algorithm](/wiki/algorithm)
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