  The authors of this white paper met on 16-17 January 2020 at the New Jersey
Institute of Technology, Newark, NJ, for a 2-day workshop that brought together
a group of heliophysicists, data providers, expert modelers, and computer/data
scientists. Their objective was to discuss critical developments and prospects
of the application of machine and/or deep learning techniques for data
analysis, modeling and forecasting in Heliophysics, and to shape a strategy for
further developments in the field. The workshop combined a set of plenary
sessions featuring invited introductory talks interleaved with a set of open
discussion sessions. The outcome of the discussion is encapsulated in this
white paper that also features a top-level list of recommendations agreed by
participants.
