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collab:data_challenge [2018/08/23 11:19]
jbdurand
collab:data_challenge [2018/11/28 15:34]
jbdurand
Line 6: Line 6:
  
 ==== Data challenges ==== ==== Data challenges ====
-=== 2018-2019 (updated Aug23topic) ===+=== 2018-2019 (updated Nov19schedule) ===
 The challenge will be on pollutant prediction in Grenoble area, in collaboration with [[https://www.atmo-auvergnerhonealpes.fr/|ATMO Auvergne-Rhône Alpes]]. The challenge will be on pollutant prediction in Grenoble area, in collaboration with [[https://www.atmo-auvergnerhonealpes.fr/|ATMO Auvergne-Rhône Alpes]].
 == Milestones == == Milestones ==
-  * Presentation of the context +See [[https://competitions.codalab.org/competitions/20430?secret_key=9c39a737-0965-4120-89a4-d8b6cc08eddb]]  
-  * (in mid-OctoberDelivering the training data set +  [[https://data-institute.univ-grenoble-alpes.fr/data-science-seminar-series-florence-troude-and-alexandre-thomasson-766514.htm?RH=1504084034855|Presentation of the context]] (Oct. 18, 2018
-  * (in November) One session to get familiar with the training data set. +  * {{ :collab:20181025_challenge_trainingdataset.pdf |Presentation}} and delivery of the training data set (Oct25, 2018) 
-  * (in mid-December 11) Development of some basic solution (baseline). Short oral presentation of the baseline solution and short description of it (1-2 pages report). You may express some particular needs in terms of computational power for the intensive session. +  * Presentation of the starting kit and expected format of outputs (Nov. 30, 2018, IM2AG F321. Nov. 19, 8:45AM) 
-  * (February 5-8 or February 3-5, room IM2AG F108, from 9 AM to 5 PM) Intensive session, partly supervised by tutors. On the third day: (AM) prediction on evaluation data set; (PM): defence of the whole project and final proposal with questions from teachers and other team's members. Report of 4 to 10 pages with experience feedback (description and comparison of the different approaches that were tried).+  * Development of some basic solution (baseline). Short oral presentation of the baseline solution and short description of it1-2 pages report (Dec. 13, 3:45PM). You may express some particular needs in terms of computational power for the intensive session. 
 +  * Intensive session, partly supervised by tutors. On the third day: (AM) prediction on evaluation data set; (PM): defence of the whole project and final proposal with questions from teachers and other team's members. Report of 4 to 10 pages with experience feedback (description and comparison of the different approaches that were tried).
  
  
-== Data and basic scripts ==+== Schedule, teams and registration == 
 +See [[https://competitions.codalab.org/competitions/20430?secret_key=9c39a737-0965-4120-89a4-d8b6cc08eddb]].\\   
 +Please do not register before being advised to do so, since this version of the site is temporary and likely to be replaced by a newer one.
  
-== Rules == +== Grading rules == 
   * Evaluation: 1/3 score (ranking / performance), 1/3 report, 1/3 oral presentation.   * Evaluation: 1/3 score (ranking / performance), 1/3 report, 1/3 oral presentation.
  
collab/data_challenge.txt · Last modified: 2018/12/13 09:40 by jbdurand
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