Can Machines Learn How Clouds Work? The Epistemic Implications of Machine Learning Methods in Climate Science.
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| Title: | Can Machines Learn How Clouds Work? The Epistemic Implications of Machine Learning Methods in Climate Science. |
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| Authors: | Kawamleh, Suzanne |
| Source: | Philosophy of Science; Dec2021, Vol. 88 Issue 5, p1008-1020, 13p, 1 Diagram, 1 Chart |
| Database: | Humanities Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: hus DbLabel: Humanities Source An: 153950441 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Can Machines Learn How Clouds Work? The Epistemic Implications of Machine Learning Methods in Climate Science. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Kawamleh%2C+Suzanne%22">Kawamleh, Suzanne</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Philosophy+of+Science%22">Philosophy of Science</searchLink>; Dec2021, Vol. 88 Issue 5, p1008-1020, 13p, 1 Diagram, 1 Chart |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=hus&AN=153950441 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1086/714877 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1008 Titles: – TitleFull: Can Machines Learn How Clouds Work? The Epistemic Implications of Machine Learning Methods in Climate Science. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kawamleh, Suzanne IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 00318248 Numbering: – Type: volume Value: 88 – Type: issue Value: 5 Titles: – TitleFull: Philosophy of Science Type: main |
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