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Machine Learning and Artificial Intelligence to Advance Earth System Science [electronic resource] Opportunities and Challenges: Proceedings of a Workshop
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | Machine Learning and Artificial Intelligence to Advance Earth System Science [electronic resource] : Opportunities and Challenges: Proceedings of a Workshop. |
| 개인저자 | Silvern, Rachel,editor, |
| 단체저자명 | National Academies of Sciences, Engineering, and Medicine (U.S.),publisher. |
| 발행사항 | Washington, D.C.: National Academies Press, 2022. |
| 형태사항 | 1 online resource (69 p.). |
| 기타형태 저록 | Print version: National Academies of Sciences, Engineering, and Medicine Machine Learning and Artificial Intelligence to Advance Earth System Science Washington, D.C. : National Academies Press,c2022 9780309688536 |
| ISBN | 030968854X 9780309688543 |
| 일반주기 |
Description based upon print version of record.
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| 일반주제명 | Earth sciences --Congresses. Machine learning --Congresses. Artificial intelligence --Congresses. |
| 언어 | 영어 |
| 바로가기 |  |
