Abstract
Supervised Learning is a type of machine learning that learns by creating a function that maps an input to an output based on example input-output pairs. It infers a learned function from labeled training data consisting of a set of training examples, which are prepared or recorded by another source.
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© 2020 Andreas François Vermeulen
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Vermeulen, A.F. (2020). Supervised Learning: Using Labeled Data for Insights. In: Industrial Machine Learning. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5316-8_4
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DOI: https://doi.org/10.1007/978-1-4842-5316-8_4
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5315-1
Online ISBN: 978-1-4842-5316-8
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