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An Introduction to Machine Learning

  • Diego OlivaEmail author
  • Erik Cuevas
Chapter
Part of the Intelligent Systems Reference Library book series (ISRL, volume 117)

Abstract

This chapter introduces the foundations of machine learning that are necessary to motivate its combination to evolutionary algorithms and image processing. In the chapter, we will describe several machine learning tools, suitable for a wide variety of data and tasks. The goal is not to describe the total number of techniques, but instead to present a general view of the field through the description of the mail problems considered in machine learning.

References

  1. 1.
    Kramer, O.: Machine Learning for Evolution Strategy. Springer, Switzerland (2016)Google Scholar
  2. 2.
    Kevin, P.: Murphy, Machine Learning: A Probabilistic Perspective. MIT Press, London (2011)Google Scholar
  3. 3.
    Marsland, S.: Machine Learning, An Algorithm Perspective. CRC Press, Boca Raton (2015)Google Scholar
  4. 4.
    Mola, A., Vishwanathan, A.: Introduction to Machine Learning. Cambridge University Press, Cambridge (2008)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Departamento de Electrónica, CUCEIUniversidad de GuadalajaraGuadalajaraMexico
  2. 2.Tecnológico de Monterrey, Campus GuadalajaraZapopanMexico

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