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Kick-off meet-up

Agenda:

  • Member introduction
  • Short presentations
  • Open discussions

 

The main goal of this kick-off meeting is to get a sense of the topics/projects that could fuel MLGeek meet-ups (open data, social network analysis, smart phones/sensors/robots hacking, Kaggle competitions, ...).

 

We'll start the meet-up in a room of the computer science department at ULB, so we have an environment with data projector to allow short presentations, and then we can go to 'El café', a chill-out café nearby to continue the discussions.

 

We plan these 'short presentations' (5/10 minutes) so anyone can present with a few slides his/her current/future projects. Prepare some to give a better idea of your interests!

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  • M. A.

    Yann-Aël, any plans for an upcoming meetup ?

    January 26, 2014

  • Martin F.

    Great! Good interactions

    May 7, 2013

  • JC R.

    Thank you Yann-Aël.
    Nice first meeting. Get to know each other. Meet every 6 weeks or so. 2 types of meeting: pres or workshop. Discussed potential projects.

    May 3, 2013

  • Istvan H.

    Unfortunately I will not be able to attend. Have fun, though.

    April 29, 2013

  • Yann-Aël Le B.

    Hi all,

    A note for those coming by car: you can safely park your car in Fraiteur car park - see map at http://www.ulb.ac.be/campus/plaine/plan.html, and add a sheet under the car windshield mentioning "Visitor of Pr. BONTEMPI, ULB Computer Science Dept"

    Also in case you are late and the door of NO building is closed (it closes at 7), call me at[masked] See you tomorrow

    April 29, 2013

  • Yann-Aël Le B.

    Hello,
    Yes, and some of the participants are actually interested (and have worked) in this kind of problems. To state the problem as clearly as possible and make discussions more focused, it would be good if you can give an idea of the types/number of variables you consider
    Cheers,
    Yann-Aël

    April 25, 2013

  • Martin F.

    Hello,
    I would like to present a case about financial accounting data of holding companies, whereby the ML purpose is (trying) to find predictors or correlations within this 'big' amount of data.
    E.g. if the personnel costs in subsidiary 123 is x % versus its own revenue, the whole group will perform (i.e. net profit) within such and such defined confidence intervals.
    I had a try some years ago with PEPIT software (ULg spinoff) and its founder Dominique, but for different reasons (both him and me concentrated on revenue-generating activities) we did not pursue our venture after some first encouraging steps.
    Do you think this kind of topic would fit into the kick-off objectives?
    Thank you.
    Regards,
    Martin

    April 24, 2013

    • Gianluca B.

      Of course, you are very welcome.

      April 25, 2013

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