@SaclayCDS

The official account of the Paris-Saclay Center for Data Science, an interdisciplinary project around data.

 Paris-Saclay
datascience-paris-saclay.fr/
Joined October 2014
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  • Following70
  • Followers829
24Media
The new ramp.studio data challenge platform by @SaclayCDS is out and kindly hosted by @OVHcloud_FR ! thanks a lot #DataScience
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. @SaclayCDS hosted another very successful workshop on Introduction to Data Science in Python. Find out more: datascience-paris-saclay.fr/… Stay tuned for the workshops coming in 2020
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Data Science @Saclay retweeted
Balázs Kégl
@balazskegl24 Oct 2019
Can #AI learn #Physics? #DataScience challenge by @HuaweiFr with prize pool. Forecast the behavior of a dynamical system. Open to French students. Number of registrations is limited: huawei-data-challenge.bemyap…. Please share.
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The @SaclayCDS recently organised an introduction to data science workshop. Find more about this event and looking forward to the next session: datascience-paris-saclay.fr/…
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Data Science @Saclay retweeted
Balázs Kégl
@balazskegl18 Feb 2019
Workshop March 7 on setting up your own RAMP server 1) for open code submission #datachallenges 2) for teaching #datascience or 3) for managing your datascience team. Please sign up here indico.lal.in2p3.fr/event/54… @SaclayCDS @jorisvdbossche @glemaitre58 @agramfort @UnivParisSaclay
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Data Science @Saclay retweeted
Guillaume Lemaitre@glemaitre5822 Feb 2019
The Paris-Saclay CDS organizes a workshop "Introduction to Data Science in Python" March 13-14 at Inria Saclay Ile-de-France. The event is opened to all scientists of Paris-Saclay area. Register to bit.ly/2EnQW3g
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Data Science @Saclay retweeted
Balázs Kégl
@balazskegl1 Oct 2018
Our next single-day @SaclayCDS #RAMP hackathon will be on October 10 at the INRIA Turing building on detecting Solar storms from spacecraft measurements (event detection in time series). If you would like to participate, please sign up before October 3: indico.lal.in2p3.fr/event/50…
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Balázs Kégl
@balazskegl2 Jul 2018
We have concluded the #ASDchallenge of @SaclayCDS @institutpasteur @IESFfrance, 123 participants, 677 submissions, AUC moved from 0.68 to 0.81. Congrats to the winners and welcome to the collaborative phase! #datascience for #healthcare #MachineLearning ramp.studio/events/autism
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Data Science @Saclay retweeted
trackml@trackmllhc26 Jun 2018
Edwin Steiner lands at second place 75.6% in our #trackml #kaggle competition. outrunner still leading at 80.7%. uval r third at 72.8%. Here a viz showing the evolution of the score of 100 best teams. #hepml
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Data Science @Saclay retweeted
Sebastien Treguer@ST4Good10 Jun 2018
Machine Learning bootcamp for TrackML challenge on @CERN data frama.link/trackMLbootcamp @LaPaillasse Paris June 18th #deeplearning #openscience
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Data Science @Saclay retweeted
trackml@trackmllhc11 Jun 2018
This will be a day long boot camp. Please consider coming if you are in Paris next Monday (registration mandatory). xitter.cf/st4good/status/1005892…
Sebastien Treguer@ST4Good10 Jun 2018
Machine Learning bootcamp for TrackML challenge on @CERN data frama.link/trackMLbootcamp @LaPaillasse Paris June 18th #deeplearning #openscience
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Data Science @Saclay retweeted
trackml@trackmllhc31 May 2018
Zidmie just snatches first place to Mickey who had been holding it for 10 days, 64.9% vs 64.1% in our #trackml #kaggle challenge. Kudos to Grzegorz Sionkowski posting a 43% kernel (still DBScan). Guys, we gave you DBScan to get started, don't get locked into it !
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Data Science @Saclay retweeted
trackml@trackmllhc5 Jun 2018
Interesting to see @hengcherkeng, one of the most active contributor to the forum of our #trackml competition (and overall #kaggle discussion grandmaster) inching step by step, now number 4. Also good to see the pack getting closer to the lead.
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Data Science @Saclay retweeted
trackml@trackmllhc6 Jun 2018
A nice vis from @hengcherkeng in our #trackml @kaggle challenge. This is a small portion of an event. Grey the hits and ground truth tracks. Red: predicted pairwise link. Coordinates are x y z in millimeters. kaggle.com/c/trackml-particl…
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Data Science @Saclay retweeted
trackml@trackmllhc10 Jun 2018
Congrats to Vicens Gaitan @ControlByte snatching leadership from Zidmie (65.5% against 64.9%) in our #trackml @kaggle competition. Mickey still third with 64.1%. 3 more above 60%. Good to see 24 more above 50%. #hepml .
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Data Science @Saclay retweeted
trackml@trackmllhc30 Apr 2018
Yep, this is us! 3 years in the making! xitter.cf/kaggle/status/99106845…
Kaggle
@kaggle30 Apr 2018
New competition launch! Can machine learning assist high energy physics in discovering and characterizing new particles? Build an algorithm that quickly reconstructs particle tracks from 3D points left in CERN's silicon detectors. goo.gl/pY1hvU
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Data Science @Saclay retweeted
Alexandre Boucaud@alxbcd5 Jun 2018
Preprint on our #RAMP #datascience platform available now on openreview. @SaclayCDS xitter.cf/balazskegl/status/1004…
Balázs Kégl
@balazskegl5 Jun 2018
A major milestone: our #RAMP preprint paper is out. Don't hesitate to comment or discuss our vision on the openreview site if you are interested in #transparency and #reproducibility in scientific #datascience workflows. openreview.net/forum?id=Syg4…
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Data Science @Saclay retweeted
Gael Varoquaux 🦋@GaelVaroquaux8 Jun 2018
New paper: Similarity encoding for learning with dirty categorical variables hal.inria.fr/hal-01806175 Code on dirty-cat.github.io Useful for data scientists fighting with dirty data
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Data Science @Saclay retweeted
Paragios, Nikos@AgoniGrammi3 Jun 2018
Can #medicalimaging #ArtificialIntelligence predict treatment success of #Immunotherapy Our results @ASCO #ASCO18 indicate strong correlations abstracts.asco.org/214/AbstV… #PhD of @rgrsun @GustaveRoussy,@Inserm,@centralesupelec,@u_psud,@ParisSaclay,@Inria with @charles_ferte,@Edradonc
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Data Science @Saclay retweeted
Data Science Game@datasciencegame1 Jun 2018
This is THE day ! The qualifying phase has just begun today 👩‍💻👨‍💻 Latecomers : you still have time to register, but hurry up since the game is on ! 👀 Do your best... and you may be one of the 20 finalist teams !🏆
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