Congratulations to Loic, and many thanks for the great work done on Nilearn, joblib and scikit learn among others  ! And yet another great opportunity to  collaborate with inria Paris.

Please take a look at http://team.inria.fr/parietal/job-offers/

Please see http://nistats.github.io for details.

Thanks @MPerezGuevaraT for finalizing it.

To give a try: `pip install nistats`

nilearn 0.4 release:https://t.co/Qs1GntYTGD

Includes easy projection from volume to surface:https://t.co/F4IcBh6IZZ

Making statistical learning on neuroimaging easier: pure Python, fast, and readable code. pic.twitter.com/nTrFneaTtP

— Gael Varoquaux (@GaelVaroquaux) November 19, 2017

Can be downloaded here: https://openfmri.org/dataset/ds000244

Thanks to all the Individual Brain Charting (IBC) team.

Today at Alan Turing building, at 4pm CET.

The committee comprises:

• Jean-Philippe Vert
• Balazs Kegl
• Christophe Giraud
• Christian Jutten
• Florence d’Alché-Buc
• Isabelle Guyon
• Pierre Vandergheynst

Congratulations  Alex !

https://t.co/lebGUZXuJc

http://scikit-learn.org/stable/whats_new.html#version-0-19-1

We are very pleased to announce the new 0.15 release of MNE-Python. This release comes with new features, bug fixes, and many improvements to usability, visualization, and documentation.

For a full list of improvements and API changes, see:

http://martinos.org/mne/stable/whats_new.html#version-0-15

Olivier Grisel has presented scikit learn. See

Rencontre #Inria_industrie 17&18oct #IoT #sécurité #données, #ML pr #IA https://t.co/BGxwFy92jd @CCI_Paris_IdF @Cap_Digital @Pole_Systematic

— Inria_Saclay (@Inria_Saclay) October 12, 2017