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The frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum.
"The field of machine learning continues to advance at a rapid pace owing to increased computing power, better algorithms and tools, and greater availability of data. Machine learning is now being used in a range of applications, including transportation and developing automated vehicles, healt...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores Corporativos: | , |
| Formato: | Electrónico Congresos, conferencias eBook |
| Idioma: | Inglés |
| Publicado: |
Washington, DC :
National Academy of Sciences : Royal Society,
[2018]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 4 | |a The frontiers of machine learning : |b 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum. |
| 264 | 1 | |a Washington, DC : |b National Academy of Sciences : |b Royal Society, |c [2018] | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource (29 pages) : |b color illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references (page 29). | ||
| 505 | 0 | |a Introduction -- Machine learning challenges -- The future of machine learning -- Appendix. | |
| 520 | |a "The field of machine learning continues to advance at a rapid pace owing to increased computing power, better algorithms and tools, and greater availability of data. Machine learning is now being used in a range of applications, including transportation and developing automated vehicles, healthcare and understanding the genetic basis of disease, and criminal justice and predicting recidivism. As the technology advances, it promises additional applications that can contribute to individual and societal well-being. The Raymond and Beverly Sackler U.S.-U.K. Scientific Forum "The Frontiers off Machine Learning" took place on January 31 and February 1, 2017, at the Washington, D.C., headquarters of the National Academies of Sciences, Engineering, and Medicine. Participants included industry leaders, machine learning researchers, and experts in privacy and the law, and this report summarizes their high-level interdisciplinary discussions"--Publisher's description | ||
| 588 | 0 | |a Online resource; title from PDF title page (National Academies Press, viewed April 25, 2018). | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Machine learning |v Congresses. | |
| 650 | 6 | |a Apprentissage automatique |v Congrès. | |
| 650 | 7 | |a Machine learning |2 fast | |
| 655 | 2 | |a Congress | |
| 655 | 7 | |a proceedings (reports) |2 aat | |
| 655 | 7 | |a Conference papers and proceedings |2 fast | |
| 655 | 7 | |a Conference papers and proceedings. |2 lcgft | |
| 655 | 7 | |a Actes de congrès. |2 rvmgf | |
| 710 | 2 | |a National Academies of Sciences, Engineering, and Medicine (U.S.), |e issuing body. | |
| 710 | 2 | |a Royal Society (Great Britain), |e author. | |
| 711 | 2 | |a Sackler Forum |d (2017 : |c Newport Pagnell, England), |j author. | |
| 758 | |i has work: |a The Frontiers of Machine Learning (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3rYwjrMdc6Q7kphKvg4YP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Society, The Royal. |t Frontiers of Machine Learning : 2017 Raymond and Beverly Sackler U.S.-U.K. Scientific Forum. |d Washington, D.C. : National Academies Press, ©2018 |z 9780309471947 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5287231 |z Texto completo |
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