On december 2nd was given at Telecom ParisTech the workshop : “Using Scikit-learn and Scientific Python at Scale” with top contributors from the project as speakers. This workshop was divided into four talks :
- Scikit-learn for industrial applications, basic research and mind reading – Alexandre Gramfort
- Distributed computing for predictive modeling in Python – Olivier Grisel
- Scikit-learn at scale : out-of-core methods – Thierry Guillemot
- An Industrial application at Airbus Group – Vincent Feuillard
Scikit-learn is currently the most widely used open source library for Machine Learning applications. It has been developed in Python (Cython and C/C++) and, with over 1000 documentation pages, has become the major contribution for democratizing machine learning for a large audience.