Gael Varoquaux 1/5/2020

2019: my scientific year in review

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The article is a scientific year-in-review by a researcher, detailing 2019 publications in computational statistics and data science. Key topics include methods for comparing data distributions, predictive pipelines for brain functional connectomes, and applying deep learning to non-standard images, all within the context of open science.

2019: my scientific year in review

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