Machine Learning and Artificial Intelligence to Advance Earth System Science Opportunities and Challenges

Machine Learning and Artificial Intelligence to Advance Earth System Science Opportunities and Challenges Login for the JSON version of this page.

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Title: Machine Learning and Artificial Intelligence to Advance Earth System Science Opportunities and Challenges
ISBN-10: 0-309-68853-1
ISBN-13: 978-0-309-68853-6
Author(s): Rachel Silvern, Board On Atmospheric Sciences And Climate, Board On Earth Sciences And Resources, National Academies Of Sciences Engineering And Medicine, Division On Engineering And Physical Sciences, Division On Earth And Life Studies, Board On Mathematical Sciences And Analytics, Ocean Studies Board, Computer Science And Telecommunications Board
Publisher: National Academies Press
Published: 2022
Format: paperback
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Pages: 571
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Description

Metadata

EAN: 9780309688536
ASIN: 0309688531
Prefix: 978
Group: 0
Group Name: English language
Group Identifier: 978-0
Registrant: 309
Publication: 68853
Check Digit: 6
Formatted: 978-0-309-68853-6

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