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Constructing Machine Learning Models for Prediction

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Guide to Industrial Analytics

Part of the book series: Texts in Computer Science ((TCS))

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Abstract

Machine learning (ML) is a set of techniques that enable computer algorithms to be refined over time automatically, by way of experience. Such techniques are attractive for the management of operations as they enable predictions to be made that are informed by the context in which a dataset has been produced. This chapter demonstrates the effectiveness of ML techniques by way of application.

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Correspondence to Richard Hill .

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Hill, R., Berry, S. (2021). Constructing Machine Learning Models for Prediction. In: Guide to Industrial Analytics. Texts in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-79104-9_7

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  • DOI: https://doi.org/10.1007/978-3-030-79104-9_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79103-2

  • Online ISBN: 978-3-030-79104-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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