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An Overview of Machine Learning

  • Michael Paluszek
  • Stephanie Thomas
Chapter

Abstract

Machine learning is a field in computer science where existing data are used to predict, or respond to, future data. It is closely related to the fields of pattern recognition, computational statistics, and artificial intelligence. Machine learning is important in areas like facial recognition, spam filtering, and others where it is not feasible, or even possible, to write algorithms to perform a task.

Keywords

Machine Learning Expert System Bayesian Network Machine Learning Algorithm Unsupervised Learning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. [1]
    J. Grus. Data Science from Scratch. O’Reilly, 2015.Google Scholar
  2. [2]
    Corinna Cortes and Vladimir Vapnik. Support-Vector Networks. Machine Learning, 20:273–297, 1995.zbMATHGoogle Scholar

Copyright information

© Michael Paluszek, Stephanie Thomas  2017

Authors and Affiliations

  • Michael Paluszek
    • 1
  • Stephanie Thomas
    • 1
  1. 1.New JerseyUSA

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