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The authors of this white paper met on 16-17 January 2020 at the New JerseyInstitute of Technology, Newark, NJ, for a 2-day workshop that brought togethera group of heliophysicists, data providers, expert modelers, and computer/datascientists. Their objective was to discuss critical developments and prospectsof the application of machine and/or deep learning techniques for dataanalysis, modeling and forecasting in Heliophysics, and to shape a strategy forfurther developments in the field. The workshop combined a set of plenarysessions featuring invited introductory talks interleaved with a set of opendiscussion sessions. The outcome of the discussion is encapsulated in thiswhite paper that also features a top-level list of recommendations agreed byparticipants.

Machine Learning in Heliophysics and Space Weather Forecasting: A White Paper of Findings and Recommendations