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Visual Analytics Techniques for ML by javeriazia97 is a document available to read on EtoBox.

This article provides a comprehensive survey of visual analytics techniques for machine learning. It reviews 259 papers from the last ten years and organizes them into a taxonomy based on the machine learning pipeline, including techniques before, during, and after model building. For each category, typical analysis tasks are identified and exemplified by influential works. Research challenges and future opportunities are also discussed.

Author
javeriazia97
Language
EN