The frontiers of machine learning : : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum / / The Royal Society and National Academy of Sciences.
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Place / Publishing House: | Washington, DC : : National Academy of Sciences,, [2018] Ã2018 |
Year of Publication: | 2018 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (33 pages) |
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(MiAaPQ)5005287231 (Au-PeEL)EBL5287231 (CaPaEBR)ebr11510962 (OCoLC)1023531802 |
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The frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum / The Royal Society and National Academy of Sciences. Washington, DC : National Academy of Sciences, [2018] Ã2018 1 online resource (33 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on print version record. Electronic reproduction. Ann Arbor, MI : ProQuest, 2018. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. Machine learning Congresses. Electronic books. Royal Society and National Academy of Sciences, contributor. Print version: Frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum. Washington, DC : National Academy of Sciences, c2018 33 pages 9780309471947 ProQuest (Firm) https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5287231 Click to View |
language |
English |
format |
eBook |
author2 |
Royal Society and National Academy of Sciences, |
author_facet |
Royal Society and National Academy of Sciences, Royal Society and National Academy of Sciences, |
author2_role |
TeilnehmendeR |
author_corporate |
Royal Society and National Academy of Sciences, |
author_corporate_role |
MitwirkendeR |
title |
The frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum / |
spellingShingle |
The frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum / |
title_sub |
2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum / |
title_full |
The frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum / The Royal Society and National Academy of Sciences. |
title_fullStr |
The frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum / The Royal Society and National Academy of Sciences. |
title_full_unstemmed |
The frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum / The Royal Society and National Academy of Sciences. |
title_auth |
The frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum / |
title_new |
The frontiers of machine learning : |
title_sort |
the frontiers of machine learning : 2017 raymond and beverly sackler u.s -u.k. scientific forum / |
publisher |
National Academy of Sciences, |
publishDate |
2018 |
physical |
1 online resource (33 pages) |
isbn |
9780309471954 9780309471947 |
callnumber-first |
Q - Science |
callnumber-subject |
Q - General Science |
callnumber-label |
Q325 |
callnumber-sort |
Q 3325.5 F766 42018 |
genre |
Electronic books. |
genre_facet |
Congresses. Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=5287231 |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
006 - Special computer methods |
dewey-full |
006.31 |
dewey-sort |
16.31 |
dewey-raw |
006.31 |
dewey-search |
006.31 |
oclc_num |
1023531802 |
work_keys_str_mv |
AT royalsocietyandnationalacademyofsciences thefrontiersofmachinelearning2017raymondandbeverlysacklerusukscientificforum AT royalsocietyandnationalacademyofsciences frontiersofmachinelearning2017raymondandbeverlysacklerusukscientificforum |
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(MiAaPQ)5005287231 (Au-PeEL)EBL5287231 (CaPaEBR)ebr11510962 (OCoLC)1023531802 |
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cr |
is_hierarchy_title |
The frontiers of machine learning : 2017 Raymond and Beverly Sackler U.S -U.K. Scientific Forum / |
author2_original_writing_str_mv |
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marc_error |
Info : Unimarc and ISO-8859-1 translations identical, choosing ISO-8859-1. --- [ 856 : z ] |
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