Opening remarks: Causal Machine Learning
996
22.1
Microsoft Research320 тыс
Следующее
08.02.22 – 3 32630:57Популярные
13.04.23 – 44857:16
10.02.23 – 1 75658:12Опубликовано 8 февраля 2022, 17:13
Speaker: Cheng Zhang, Principal Researcher, Microsoft Research Cambridge
Causal machine learning is an increasingly important, but not well understood, technology. It’s a necessary precursor to building more human-like machine intelligence, and an integral factor in the fields of information, data and computer science. This track focuses on emerging causal machine learning technologies and the opportunities for practical impact at the intersection of academia and industry, with contributions from researchers at Microsoft and the broader academic and industrial research communities.
Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
Causal machine learning is an increasingly important, but not well understood, technology. It’s a necessary precursor to building more human-like machine intelligence, and an integral factor in the fields of information, data and computer science. This track focuses on emerging causal machine learning technologies and the opportunities for practical impact at the intersection of academia and industry, with contributions from researchers at Microsoft and the broader academic and industrial research communities.
Learn more about the 2021 Microsoft Research Summit: Aka.ms/researchsummit
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