Machine Learning to Improve Marine Science for the Sustainability of Living Ocean Resources Report from the 2019 Norway - U.S
NOAA Machine Learning to Improve Marine Science for the Sustainability of Living Ocean Resources Report from the 2019 Norway - U.S. Workshop NOAA Technical Memorandum NMFS-F/SPO-199 November 2019 Machine Learning to Improve Marine Science for the Sustainability of Living Ocean Resources Report from the 2019 Norway - U.S. Workshop Edited by William L. Michaels, Nils Olav Handegard, Ketil Malde, Hege Hammersland-White Contributors (alphabetical order): Vaneeda Allken, Ann Allen, Olav Brautaset, Jeremy Cook, Courtney S. Couch, Matt Dawkins, Sebastien de Halleux, Roger Fosse, Rafael Garcia, Ricard Prados Gutiérrez, Helge Hammersland, Hege Hammersland-White, William L. Michaels, Kim Halvorsen, Nils Olav Handegard, Deborah R. Hart, Kine Iversen, Andrew Jones, Kristoffer Løvall, Ketil Malde, Endre Moen, Benjamin Richards, Nichole Rossi, Arnt-Børre Salberg, , Annette Fagerhaug Stephansen, Ibrahim Umar, Håvard Vågstøl, Farron Wallace, Benjamin Woodward November 2019 NOAA Technical Memorandum NMFS-F/SPO-199 U.S. Department National Oceanic and National Marine Of Commerce Atmospheric Administration Fisheries Service Wilbur L. Ross, Jr. Neil A. Jacobs, PhD Christopher W. Oliver Secretary of Commerce Acting Under Secretary of Commerce Assistant Administrator for Oceans and Atmosphere for Fisheries and NOAA Administrator Recommended citation: Michaels, W. L., N. O. Handegard, K. Malde, and H. Hammersland-White (eds.). 2019. Machine learning to improve marine science for the sustainability of living ocean resources: Report from the 2019 Norway - U.S. Workshop. NOAA Tech. Memo. NMFS-F/SPO-199, 99 p. Available online at https://spo.nmfs.noaa.gov/tech-memos/ The National Marine Fisheries Service (NMFS, or NOAA Fisheries) does not approve, recommend, or endorse any proprietary product or proprietary material mentioned in the publication.
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