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Machine Learning

In: The Beginner's Guide to Data Science

Author

Listed:
  • Robert Ball

    (Weber State University)

  • Brian Rague

    (Weber State University)

Abstract

Machine learning is a field originating from mathematics and statistics and has many practical applications. In the example used in this chapter, machine learning can help us identify (or predict) the particular species of Iris flower based solely on measurements of the flower’s sepals and petals. The alternative project implementation strategy machine learning offers is that instead of hiring a team of expensive botanists to identify individual Iris flowers in the field, one botanist is hired who trains a group of lay persons to measure the sepal width, sepal length, petal width, and petal length of every Iris plant of interest, at which point the machine learning algorithms do the work of identifying the plants.

Suggested Citation

  • Robert Ball & Brian Rague, 2022. "Machine Learning," Springer Books, in: The Beginner's Guide to Data Science, chapter 0, pages 155-194, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-07865-1_8
    DOI: 10.1007/978-3-031-07865-1_8
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