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***PROGRAMMATICALLY GENERATED, DO NOT EDIT. SEE ORIGINAL FILES IN /content*** |
This is an introductory tutorial for using Nilearn to explore machine learning with neuroimaging data. It was developed for use at the Montreal AI and Neuroscience (MAIN) conference in December 2018.
It is rendered here using Jupyter Book, with compute infrastructure provided by the Canadian Open Neuroscience Platform (CONP).
This tutorial was initially presented by Pierre Bellec, Elizabeth DuPre, Greg Kiar, and Jake Vogel.