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344 results found

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Event

Date de l'événement (intitulé)
14 May 2020 - 17.00
Chapo
The group meeting on casualty and missing data, organised by the Centre de Mathématiques Appliquées (CMAP) of École polytechnique, will take place as a webinar.
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Actualité | DATAIA

Chapo
The DATAIA seminars continue during the quarantine period: log-in from your computer and follow the talks of our guest experts!
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Event

Date de l'événement (intitulé)
7 May 2020 - 15.00
Chapo
As part of its scientific activities, the DATAIA Institute organises seminars aimed at discussing about AI.
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Actualité | Event

Chapo
Actors in artificial intelligence, data science, and human and social sciences from Saclay gathered on March 5, 2020 at CentraleSupélec to attend the "DATAIA DAY: 1st data science, intelligence and society conference".
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Event

Date de l'événement (intitulé)
6 mars 2020 - 15.30
Chapo
As part of its scientific activities, the DATAIA Institute organises seminars aimed at discussing about AI.
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Event

Date de l'événement (intitulé)
3 March 2020
Chapo
Le Séminaire Palaisien gathers, every first Tuesday of the month, the vast research community of Saclay around statistics and machine learning.
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Event

Date de l'événement (intitulé)
14 October 2020 - 9.00
Chapo
Born from a discussion between Professor Gérard Berry, Chair of Algorithms, Machines and Languages at the Collège de France, and Dr. Francis Besse, Northern Cardiology Centre, this colloquium follows on from the 2018 and 2019 editions held at the Collège de France.
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Event

Date de l'événement (intitulé)
27 February 2020 - 14.00
Chapo
As part of its scientific activities, the DATAIA Institute organises seminars aimed at discussing about AI.
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Event

Date de l'événement (intitulé)
4 - 9 January 2021
Chapo
The fourth edition of the Data Science Summer School, which offers courses and practical sessions covering the latest advances in data science, returns virtually on January 2021.
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Event

Date de l'événement (intitulé)
11 February 2020
Chapo
Le Séminaire Palaisien gathers, every first Tuesday of the month, the vast research community of Saclay around statistics and machine learning.