Demo: Enabling end-to-end causal inference at scale
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Microsoft Research335 тыс
Следующее
08.02.22 – 2492:58Популярные
42 дня – 6622:27
227 дней – 4 5668:50Опубликовано 8 февраля 2022, 17:32
Speakers:
Eleanor Dillon, Principal Economist, Microsoft Research New England
Amit Sharma, Senior Researcher, Microsoft Research India
This session will present the two popular open-source tools for causal inference, DoWhy and EconML, developed by Microsoft Research. In this demo, researchers Amit Sharma and Eleanor Dillon will describe how the integrated toolkit (DoWhy+EconML) provides an end-to-end API for causal inference, access to state-of-the-art effect estimation algorithms, and methods to evaluate the validity of a causal estimate.
Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
Eleanor Dillon, Principal Economist, Microsoft Research New England
Amit Sharma, Senior Researcher, Microsoft Research India
This session will present the two popular open-source tools for causal inference, DoWhy and EconML, developed by Microsoft Research. In this demo, researchers Amit Sharma and Eleanor Dillon will describe how the integrated toolkit (DoWhy+EconML) provides an end-to-end API for causal inference, access to state-of-the-art effect estimation algorithms, and methods to evaluate the validity of a causal estimate.
Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
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