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Supervised learning
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Machine learning paradigm
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Wikipedia

In machine learning, supervised learning (SL) is a type of machine learning paradigm where an algorithm learns to map input data to a specific output based on example input-output pairs. This process involves training a statistical model using labeled data, meaning each piece of input data is provided with the correct output. For instance, if...

Instance of
Algorithm
specialty
field of study
Subclass of
Machine learning
machine learning method
Part of
Machine learning
References
Wikidata