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SUMMARY:ENS-Data Science colloquium - Michael Jordan
DESCRIPTION:Michael Jordan (UC Berkeley and INRIA Paris)\n\n\n\n\n\nCollaborative Learning\, Information Asymmetries\, and Incentives\n\n\n\n\n\n\n\n\n\nThis colloquium is organized around data sciences in a broad sense\, with the goal of bringing together researchers with diverse backgrounds (including mathematics\, computer science\, physics\, chemistry and neuroscience) but a common interest in dealing with complex\, large scale\, or high dimensional data. More information can be found on the web page of the seminar: https://data-ens.github.io/seminar/
URL:https://www.math.ens.psl.eu/evenement/ens-data-science-colloquium-michael-jordan/
LOCATION:Amphi Jaurès (29 Rue d’Ulm)
CATEGORIES:Séminaire Data de l’ENS
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