Machine Learning under Resource Constraints - Fundamentals.

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Superior document:De Gruyter STEM Series
:
TeilnehmendeR:
Place / Publishing House:Berlin/Boston : : Walter de Gruyter GmbH,, 2022.
Ã2023.
Year of Publication:2022
Edition:1st ed.
Language:English
Series:De Gruyter STEM Series
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Physical Description:1 online resource (506 pages)
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record_format marc
spelling Morik, Katharina.
Machine Learning under Resource Constraints - Fundamentals.
1st ed.
Berlin/Boston : Walter de Gruyter GmbH, 2022.
Ã2023.
1 online resource (506 pages)
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
De Gruyter STEM Series
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Electronic books.
Marwedel, Peter.
Print version: Morik, Katharina Machine Learning under Resource Constraints - Fundamentals Berlin/Boston : Walter de Gruyter GmbH,c2022
ProQuest (Firm)
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7156125 Click to View
language English
format eBook
author Morik, Katharina.
spellingShingle Morik, Katharina.
Machine Learning under Resource Constraints - Fundamentals.
De Gruyter STEM Series
author_facet Morik, Katharina.
Marwedel, Peter.
author_variant k m km
author2 Marwedel, Peter.
author2_variant p m pm
author2_role TeilnehmendeR
author_sort Morik, Katharina.
title Machine Learning under Resource Constraints - Fundamentals.
title_full Machine Learning under Resource Constraints - Fundamentals.
title_fullStr Machine Learning under Resource Constraints - Fundamentals.
title_full_unstemmed Machine Learning under Resource Constraints - Fundamentals.
title_auth Machine Learning under Resource Constraints - Fundamentals.
title_new Machine Learning under Resource Constraints - Fundamentals.
title_sort machine learning under resource constraints - fundamentals.
series De Gruyter STEM Series
series2 De Gruyter STEM Series
publisher Walter de Gruyter GmbH,
publishDate 2022
physical 1 online resource (506 pages)
edition 1st ed.
isbn 9783110785944
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=7156125
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 1357015184
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