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collab:data_challenge [2018/10/26 10:28]
jbdurand
collab:data_challenge [2018/12/13 09:40] (current)
jbdurand
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 ==== Data challenges ==== ==== Data challenges ====
-=== 2018-2019 (updated Oct26slides of presentation) ===+=== 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 ==
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   * [[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)   * [[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)
   * {{ :collab:20181025_challenge_trainingdataset.pdf |Presentation}} and delivery of the training data set (Oct. 25, 2018)   * {{ :collab:20181025_challenge_trainingdataset.pdf |Presentation}} and delivery of the training data set (Oct. 25, 2018)
-  * 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) 
-  * 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, 3:30PM). You may express some particular needs in terms of computational power for the intensive session. 
 +  * Intensive session, partly supervised by tutors (Feb. 6-8). On Feb. 8 (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).
  
  
collab/data_challenge.1540542492.txt.gz · Last modified: 2018/10/26 10:28 by jbdurand
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