Creating Accessible Data Visualizations with Dominik Moritz
HCI Ideas
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Demystifying Data in Machine Learning
This chapter delves into the importance of interpretable machine learning and the critical role that data plays in training effective models. It discusses tools and techniques for data analysis, emphasizing the need for transparency in AI, through visualizations like AutoProfiler and Swiftcharts. The chapter also highlights ongoing research aimed at improving understanding and optimization of machine learning models, particularly in mobile applications.
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