Integrating Machine Learning for Planetary Science: Perspectives for the Next Decade
Abstract
Machine learning (ML) methods can expand our ability to construct, and draw insight from large datasets. Despite the increasing volume of planetary observations, our field has seen few applications of ML in comparison to other sciences. To support these methods, we propose ten recommendations for bolstering a data-rich future in planetary science.
- Publication:
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Bulletin of the American Astronomical Society
- Pub Date:
- May 2021
- DOI:
- Bibcode:
- 2021BAAS...53d.128A