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Predicting and labancing bikeshare systems by R...

Predicting and labancing bikeshare systems by Raphaël Cherrier

Presentation at DataGeeks @AXA avec Sean Owen January 21 2015· 7:00 PM
Raphaël Cherrier, PhD
QUCIT - Founder & CEO
www.qucit.com

Datageeks Paris

January 21, 2015
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  1. Disclaimer: Short Bio PhD in Theoretical Physics (Spin Glasses, Disordered

    Systems and Neural Nets) Associate Prof. in Fluid Mechanics Algorithmic Trading Founder @qucit (may 2014)
  2. Clément Data Science & Mobile Dev Msc in Physics (ENS

    Lyon) Yassine Data Science, Dataviz & Mobile Msc in Applied Mathematics (Centrale Paris & Cambridge) Raphaël Founder & CEO Statistical Modelling PhD in Physics (ENS Lyon) Michaël Partner & CMO Business Development (Centrale Paris & MBA Insead) Rémi Deep Learning & Cloud PhD Student in CS (Univ. Bordeaux) Nicolas Data Science & Cloud PhD in Mathematics (ENS Ulm) Caixia Dataviz Msc in Computer Science (Univ. Bordeaux) Guillaume Cloud & Graphs Msc in Computer Science (Univ. Bordeaux)
  3. 700+ bikeshare systems www.bikesharingworld.com Started in France (2005, Lyon) 3b$,

    +50% per year 1M+ bikes 830+ cities THEY ALL SHARE THE SAME PROBLEMS
  4. Bike share stations are like mikes that listen to urban

    mobility behaviors, measuring the ‘pulse’ of the city ‘UNIVERSAL’ MOBILITY BEHAVIORS