Olivier Grisel is giving a plenary presentation entitled “Predictive Modeling in Python with scikit-learn” at the DataSciEn’2018 workshop:
B.Thirion will present a synthesis of Parietal on ML for brain imaging.
The project ANR “Efficient Statistical Testing for high-dimensional Models :
application to Brain Imaging and Genomics (FAST-BIG)” (ANR 2017) will have its kick-off on January 12th at 1:30pm at LMO in Orsay.
@ljacob @BertrandThirion @GaelVaroquaux
Parietal is organizing an MNE coding sprint with NeuroPsi (http://neuro-psi.cnrs.fr/) fellows at Alan Turing, Jan 9-11.
@agramfort @dngman @mne_python
Dec 14t: B.Thirion is giving a presentation at statics seminary of the maths department at Orsay University.
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 see http://nistats.github.io for details.
Thanks for finalizing it.
To give a try: `pip install nistats`
Can be downloaded here: https://openfmri.org/dataset/ds000244
Thanks to all the Individual Brain Charting (IBC) team.