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PRODID:-//Département de mathématiques et applications - ECPv6.2.2//NONSGML v1.0//EN
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X-ORIGINAL-URL:https://www.math.ens.psl.eu
X-WR-CALDESC:évènements pour Département de mathématiques et applications
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TZID:Europe/Paris
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TZNAME:CEST
DTSTART:20210328T010000
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DTSTART:20211031T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20211209T120000
DTEND;TZID=Europe/Paris:20211209T130000
DTSTAMP:20260407T071145
CREATED:20220112T163844Z
LAST-MODIFIED:20220112T163926Z
UID:15052-1639051200-1639054800@www.math.ens.psl.eu
SUMMARY:Data science and science with data
DESCRIPTION:The young field of Machine learning has changed the ways we interact with data and neural networks have made us appreciate the potential of working with millions of parameters. Interestingly\, the vast majority of scientific discoveries today are not based on these new techniques. I will discuss the contrast between these two regimes and I will show how an intermediate approach\, i.e. neural network inspired but mathematically defined statistics (scattering and phase harmonic transforms)\, can provide the long-awaited tools in scientific research. I will illustrate these points using astrophysics as an example.
URL:https://www.math.ens.psl.eu/evenement/data-science-and-science-with-data/
LOCATION:Amphi Jaurès (29 Rue d’Ulm)
CATEGORIES:Séminaire Data de l’ENS
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