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Paris-Saclay Center for Data Science kick-off meeting
The digital transition: applications of machine learning to marketing, engineering sciences, and medicine Nicolas Vayatis (5276) - Lundi 30 juin 2014 14:40 - 15:05

The digital transition: applications of machine learning to marketing, engineering sciences, and medicine Nicolas Vayatis

Session 2

In every sector of human activity, the pervasiveness of sensors and the accumulation of digital information have raised novel intellectual challenges, dreams and fears. Recently, intensive research in the field of high dimensional statistics, the progress in the description and modeling of networks, and the second life of optimization theory have generated concepts and algorithms that allow to develop inference on complex data and also to think about new perspectives of interactions between experts or scientists of different fields. A major tension when addressing such issues from the viewpoint of applications is the balance between customization and reproducibility and, to my opinion, these two criteria should drive future innovations in the field of machine learning. In the talk, I will illustrate these ideas by going through a few recent achievements arising from interdisciplinary projects in the fields of digital marketing, fluid mechanics, and ethomics.

Nicolas Vayatis (ENS Cachan)

Informatique

IN2P3

Il a pour mission de développer et de coordonner les recherches poursuivies dans le domaine de la physique nucléaire, physique des particules et astroparticules.

Toutes les vidéos de l'évenement Paris-Saclay Center for Data Science kick-off meeting (13 videos)

00:16:23.01

2014-06-30

09:30 - 09:50 : Introduction : FCS and Université Paris-Saclay

00:18:17.02

2014-06-30

09:50 - 10:10 : Introduction : Center for Data Science

00:44:35.00

2014-06-30

10:10 - 10:50 : Machine learning for personalized genomics Jean-Philippe Vert

00:26:40.02

2014-06-30

11:20 - 11:45 : Enhancing functional neuroimaging with meta-analytic approaches B...

00:24:48.02

2014-06-30

11:45 - 12:10 : Data science in planetary science Frédéric Schmidt

00:30:18.02

2014-06-30

12:10 - 12:35 : Cosmology: from fundamental questions to computing challenges Rez...

00:32:42.76

2014-06-30

14:00 - 14:40 : The autonomous search engine Maarten de Rijke

00:27:57.78

2014-06-30

14:40 - 15:05 : The digital transition: applications of machine learning to marke...

00:19:33.62

2014-06-30

15:05 - 15:30 : Designing and learning features for music information retrieval J...

00:23:00.03

2014-06-30

15:30 - 15:55 : Direct-touch interaction for scientific visualization Tobias Isen...

00:43:00.01

2014-06-30

16:30 - 17:10 : The data science challenges of particle physics Kyle Cranmer

00:27:18.03

2014-06-30

17:10 - 17:35 : Challenges for data science initiatives – an innovation managem...

01:15:03.01

2014-06-30

17:35 - 18:30 : Panel discussion

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