Machine Learning with Dask and Neuroimaging Data

[Remi-Gau]

Added as an issue for book keeping

Source: https://brainhack.psychoinformatics.de/projects.html

Leader:

José P. Valdés-Herrera
[email protected]
[Dask](https://dask.pydata.org/)

The aim of this project is to analyse large neuroimaging datasets — that do not fit in memory — even without access to powerful machines or clusters. To achieve this, we can use machine learning libraries (Nilearn, PyMVPA, scikit-learn) together with a library like Dask. During the event, the goal is to integrate these tools, pick a large dataset, and analyse it on "modest" hardware (e.g. a laptop).