Tutorial on Machine Learning, Part 2

This tutorial, given at the Machine Learning for Heliophysics Conference (conference website: https://ml-helio.github.io/) in Amsterdam on 18 September 2019, covers the following topics: resources for machine learning in heliophysics and astrophysics, open source software for machine learning, parallel computing, and heliophysics, and best practices for scientific reproducibility (how to publish research code and how to publish open source software).

Related Organizations

Stanford University
United States

Keywords

machine learning, scientific reproducibility, heliophysics

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
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