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Practical Issues to Know About

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An Introduction to Machine Learning

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Abstract

To facilitate the presentation of machine-learning techniques, this book has so far neglected certain practical issues that are non-essential for beginners but cannot be neglected in realistic applications. Now that the elementary principles have been explained, time has come to venture beyond the basics.

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Notes

  1. 1.

    An evaluation methodology discussed in Sect. 12.5.

  2. 2.

    The attentive reader will recall that something similar is the case in the sleep classification domain from Sect. 8.4.

  3. 3.

    www.ics.uci.edu/~mlearn/MLRepository.html.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA

    Miroslav Kubat

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  1. Miroslav Kubat
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Kubat, M. (2021). Practical Issues to Know About. In: An Introduction to Machine Learning. Springer, Cham. https://doi.org/10.1007/978-3-030-81935-4_11

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  • DOI: https://doi.org/10.1007/978-3-030-81935-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-81934-7

  • Online ISBN: 978-3-030-81935-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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