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Causal Data Science Meeting
Netherlands
Приєднався 17 лис 2020
Fostering a dialogue between industry and academia on causal data science. Visit: causalscience.org
Causal Data Science Meeting 2023 Keynote
Keynote by Dominik Janzing (Amazon Science) at the Causal Data Science Meeting 2023. Visit causalscience.org for more info.
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Causal Data Science Meeting 2023 Industry Roundtable
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Industry roundtable at the Causal Data Science Meeting 2023. Visit causalscience.org for more info. Panel 1: Experimentation and A/B Testing Amit K. Mondal (American Express) Benjamin Skrainka (eBay) Iavor I. Bojinov (Harvard Business School) Somit Gupta (Microsoft) Panel 2: From Causal Science to Prescriptive Intelligence Patrick Doupe (Zalando) Thomas Baudel (IBM) Victor Lo (Fidelity Investme...
CDSM22 Industry Roundtable
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Roundtable with industry leaders at the Causal Data Science Meeting 2022 Moderator: • Victor Zitian Chen, Director of Experimental Design and Causal Inference, Fidelity Investments www.linkedin.com/in/victorzitianchen/ Panelists: • Sathya Anand, Director of Data Science and Engineering, Netflix www.linkedin.com/in/sanand83/ • Somit Gupta, Principal Data Scientist at Microsoft Experimentation Pl...
CDSM22 Keynote Judea Pearl
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Keynote Address by Professor Judea Pearl from UCLA at the Causal Data Science Meeting 2022 Visit: www.causalscience.org
CDSM21 Keynote 1: "Causality-inspired Machine Learning - What Can Causality Do For ML?"
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Keynote 1 of the Causal Data Science Meeting 2021 by Sara Magliacane, Assistant Professor at the University of Amsterdam. Website: www.causalscience.org/
CDSM21 Keynote 2: "A Design Approach to Synthetic Controls"
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Keynote 2 of the Causal Data Science Meeting 2021 by Guido Imbens, Professor at Stanford GSBE and winner of the 2021 Nobel Sveriges Riksbank Prize in Economic Sciences. Website: www.causalscience.org/
Thanks.
The value of his work will be mined for 100 years, if not longer.
How eloquent
I noticed that Pearl is very direct in his communication style.
It was fantastic! The fact the RCT is not that golden standard that everone thing it is (at least not from the perspective of the kind of questions we want it to answer!) was mind blowing!