Please Stop Doing "Explainable" ML - Cynthia Rudin
Cynthia Rudin, a Faculty Associate at the Berkman Klein Center, on the important differences between building interpretable machine learning systems and retrospectively explaining the outputs of "black box" systems. Full paper available in Nature: https://www.nature.com/articles/s42256-019-0048-x
Видео Please Stop Doing "Explainable" ML - Cynthia Rudin канала The Berkman Klein Center for Internet & Society
Видео Please Stop Doing "Explainable" ML - Cynthia Rudin канала The Berkman Klein Center for Internet & Society
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19 августа 2019 г. 18:20:40
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