Orateur
Loïc Estève
(INRIA)
Description
This talk will present useful patterns and lessons learned for
efficient application of machine learning to data too big to fit in
memory, in the context of brain imaging applications.
The focus here is sharing insights gained while using
and developing nilearn and joblib, as many of the lessons are not specific to brain
imaging.
