Machine learning to improve marine science for the sustainability of living ocean resources : report from the 2019 Norway-U.S. Workshop /

Saved in:

Bibliographic Details
Imprint:	Silver Spring, MD : U.S. Department of Commerce, National Oceanic and Atmospheric Administration, NOAA Fisheries, 2019.
Description:	1 online resource (99 pages) : color illustrations.
Language:	English
Series:	NOAA technical memorandum NMFS-F/SPO ; 199 NOAA tech. memo. NMFS-F/SPO ; 197.
Subject:	Machine learning. Artificial intelligence. Computer vision. Marine sciences -- Research. Marine resources conservation.
Format:	E-Resource U.S. Federal Government Document Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/12038490

Hidden Bibliographic Details
Varying Form of Title:	Report from the 2019 Norway-U.S. Workshop
Other authors / contributors:	Michaels, William L., editor. United States. National Marine Fisheries Service, issuing body.
Notes:	"November 2019." Includes bibliographical references. Description based on online resource, PDF version; title from title page (NOAA,web site, viewed on Feb. 6, 2020).
Other form:	Print version: Machine learning to improve marine science for the sustainability of living ocean resources
GPO item no.:	0208-C-23 (online)
Govt.docs classification:	C 55.13/2:NMFS-F/SPO-199

Similar Items