Visual Analytics and Human Involvement in Machine Learning

Salomon Eisler and Joachim Meyer ()
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Salomon Eisler: Tel Aviv University
Joachim Meyer: Tel Aviv University

A chapter in Machine Learning for Data Science Handbook, 2023, pp 945-970 from Springer

Abstract: Abstract The rapidly developing AI systems and applications still require human involvement in practically all parts of the analytics process. Human decisions are largely based on visualizations, providing data scientists with details of data properties and the results of analytical procedures. Different visualizations are used in the different steps of the machine learning (ML) process. The decision on which visualization to use depends on factors, such as the data domain, the data model, and the step in the ML process. In this chapter, we describe the seven steps in the ML process and review different visualization techniques that are relevant for the different steps for different types of data, models, and purposes.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-24628-9_40

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DOI: 10.1007/978-3-031-24628-9_40

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