|Contributor(s)||Romagnan Jean-Baptiste, Simon Julien|
|Source||ICES Scientific Reports/Rapports scientifiques du CIEM ((2618-1371) (ICES), 2022 , Vol. 4 , N. 15 , P. 16p.|
The WGMLEARN group was formed to explore the use of machine learning in the marine sci-ences, and work towards increasing knowledge of and competence with relevant methods among marine scientists. The specific objectives were to review methods, applications, and im-plementations, to gather knowledge about them from a wide array of scientists, to address the implications of these methods for data management, and to highlight how they can be applied more/better in the future.
ICES (2022). Working group on machine learning in marine science (WGMLEARN; Outputs from 2021 meeting). ICES Scientific Reports/Rapports scientifiques du CIEM, 4(15), 16p. Publisher's official version : https://doi.org/10.17895/ices.pub.10060 , Open Access version : https://archimer.ifremer.fr/doc/00754/86646/