Directions in ML: AutoML & Interpretability: Powering the machine learning revolution in healthcare
Microsoft
Directions in ML: AutoML & Interpretability: Powering the machine learning revolution in healthcare
AutoML and interpretability are both fundamental to the successful uptake of machine learning by non-expert end users. The former will lower barriers to entry and unlock potent new capabilities that are out of reach when working with ad-hoc models, while the latter will ensure that outputs are transparent, trustworthy, and meaningful. In ...
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