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Rethinking AutoML: Advancing from a Machine-Centered to Human-Centered Paradigm

In this blog post, we argue why the development of the first generation of AutoML tools ended up being less fruitful than expected and how we envision a new paradigm of automated machine learning (AutoML) that is focused on the needs and workflows of ML practitioners and data scientists. The Vision of AutoML The last […]

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