Visualizing Complexity
The lab is diving deep into machine learning interpretability while also conducting experimental work to establish new guidelines for visualization designers. A key focus is on how visual analytics can assist in solving complex problems, such as aiding cybercrime investigators in making sense of messy data. The ongoing research aims to enhance our understanding of how people think with data and leverage visualization tools effectively.In this clip
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Data Skeptic
Visualization and Interpretability
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