Why Use Automated Machine Learning? Article Swipe

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YOU? · · 2021 · Open Access · · DOI: https://doi.org/10.1093/oso/9780190941659.003.0001

Machine learning is involved in search, translation, detecting depression, likelihood of college dropout, finding lost children, and to sell all kinds of products. While barely beyond its inception, the current machine learning revolution will affect people and organizations no less than the Industrial Revolution’s effect on weavers and many other skilled laborers. Machine learning will automate hundreds of millions of jobs that were considered too complex for machines ever to take over even a decade ago, including driving, flying, painting, programming, and customer service, as well as many of the jobs previously reserved for humans in the fields of finance, marketing, operations, accounting, and human resources. This section explains how automated machine learning addresses exploratory data analysis, feature engineering, algorithm selection, hyperparameter tuning, and model diagnostics. The section covers the eight criteria considered essential for AutoML to have significant impact: accuracy, productivity, ease of use, understanding and learning, resource availability, process transparency, generalization, and recommended actions.

Related Topics

Machine Learning

Artificial Intelligence

Concepts

Machine learning Artificial intelligence Computer science Feature engineering Feature selection Deep learning

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Type: book-chapter
Language: en
Landing Page: https://doi.org/10.1093/oso/9780190941659.003.0001
PDF: https://academic.oup.com/book/40037/chapter/340418906/chapter-pdf/42890329/oso-9780190941659-chapter-1.pdf
OA Status: bronze
Cited By: 9
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DOI: https://doi.org/10.1093/oso/9780190941659.003.0001

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Title: Why Use Automated Machine Learning?

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Type: book-chapter

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Language: en

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Publication year: 2021

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Publication date: 2021-07-21

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Authors: Kai R. Larsen, Daniel S. Becker

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Landing page: https://doi.org/10.1093/oso/9780190941659.003.0001

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PDF URL: https://academic.oup.com/book/40037/chapter/340418906/chapter-pdf/42890329/oso-9780190941659-chapter-1.pdf

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OA status: bronze

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OA URL: https://academic.oup.com/book/40037/chapter/340418906/chapter-pdf/42890329/oso-9780190941659-chapter-1.pdf

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Concepts: Machine learning, Artificial intelligence, Computer science, Feature engineering, Feature selection, Deep learning

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Cited by: 9

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Citations by year (recent): 2025: 1, 2024: 4, 2022: 3, 2021: 1

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Related works (count): 10

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