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• W3024426191 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." @default.
• W3024426191 created "2020-05-21" @default.
• W3024426191 creator A5037256572 @default.
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• W3024426191 date "2023-01-01" @default.
• W3024426191 modified "2023-10-17" @default.
• W3024426191 title "Visual Analytics and Human Involvement in Machine Learning" @default.
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• W3024426191 doi "https://doi.org/10.1007/978-3-031-24628-9_40" @default.
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