From Scikit-Learn and Scikit-Image to domain science
Date : Tuesday, Nov. 18 2014, 1:30pm
Location : Telecom ParisTech, amphi Saphir, 46 rue Barrault, 75013 Paris
Registration is free but mandatory. Please do it on this page (open till Nov. 11).
Objectives:
You work on domain science (biology, physics, chemistry, life science, etc.) and you deal with data analysis challenges? Or you are a machine learning expert curious to discover and learn the tools CDS partners contribute to build?
What you will learn:
– machine learning using Scikit-Learn http://scikit-learn.org
– image processing using Scikit-Image http://scikit-image.org
– how these tools allow to solve problems in domain sciences
– how these packages are developed by people in the CDS
– best practices for successful academic software development
It will also be a great opportunity to increase your network within the Paris-Saclay environment, discover the data challenges from other disciplines and start new collaborations.
Program
Session 1: Intro to the tools
13:30 : Scikit-Learn, Olivier Grisel, Software Engineer at Inria
14:15 : Scikit-Image, Emmanuelle Gouillard, Researcher at CNRS / St. Gobain Research
15:00 : Coffee Break
Session 2: On their use for domain science
15:20 : NiLearn, Gael Varoquaux, Researcher at Inria
15:40 : Mining brain waves with MNE, Alex Gramfort, Researcher at Telecom ParisTech
16:00 : Scikit-Learn in Particle Physics, Gilles Louppe, Post-doc at CERN
Wrap it up
16:20 : From flop to success in academic software development, Gael Varoquaux, Researcher at Inria
17:00 : Informal discussion with food and drinks.
