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Machine Learning, Statistics, and Data Mining for Heliophysics
  • Monica Bobra,
  • James Mason
Monica Bobra
Stanford University

Corresponding Author:mbobra@stanford.edu

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James Mason
University of Colorado at Boulder
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Abstract

We present a book entitled “Machine Learning, Statistics, and Data Mining for Heliophysics,” an online and open source book available at helioml.org. This book includes a collection of interactive Jupyter notebooks, written in the programming language Python, that walks the reader through the process of applying machine learning, statistics, and data mining techniques on various kinds of solar and space physics data sets to reproduce published results. We consider this book to be a living document with frequent updates. Please contact us if you’d like to submit a chapter!