Verfügbarkeit: Information-Driven Machine Learning | Technische Universität München

Information-Driven Machine Learning: Data Science as an Engineering Discipline

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Bibliographische Detailangaben
Beteilige Person:	Friedland, Gerald 1978- (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 2024 Cham Springer
Ausgabe:	1st ed. 2024
Schlagwörter:	Data Science Machine Learning Data Structures and Information Theory Knowledge Based Systems Artificial Intelligence Artificial intelligence / Data processing Machine learning Data structures (Computer science) Information theory Expert systems (Computer science) Artificial intelligence
Links:	https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5 https://doi.org/10.1007/978-3-031-39477-5
Umfang:	1 Online-Ressource (XXII, 267 p. 50 illus., 33 illus. in color)
ISBN:	9783031394775
DOI:	10.1007/978-3-031-39477-5

Internformat

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Datensatz im Suchindex

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id	DE-604.BV049492968
illustrated	Not Illustrated
indexdate	2024-12-20T20:13:39Z
institution	BVB
isbn	9783031394775
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-034838249
oclc_num	1418704115
open_access_boolean
owner	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
owner_facet	DE-860 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-Aug4 DE-898 DE-BY-UBR DE-861 DE-523 DE-859 DE-473 DE-BY-UBG DE-29 DE-863 DE-BY-FWS DE-1050 DE-20 DE-862 DE-BY-FWS DE-92 DE-355 DE-BY-UBR DE-824 DE-522 DE-384 DE-M347 DE-573 DE-703 DE-706 DE-739 DE-634
physical	1 Online-Ressource (XXII, 267 p. 50 illus., 33 illus. in color)
psigel	ZDB-2-SCS ZDB-2-SCS_2024
publishDate	2024
publishDateSearch	2024
publishDateSort	2024
publisher	Springer International Publishing Springer
record_format	marc
spellingShingle	Friedland, Gerald 1978- Information-Driven Machine Learning Data Science as an Engineering Discipline Data Science Machine Learning Data Structures and Information Theory Knowledge Based Systems Artificial Intelligence Artificial intelligence / Data processing Machine learning Data structures (Computer science) Information theory Expert systems (Computer science) Artificial intelligence
title	Information-Driven Machine Learning Data Science as an Engineering Discipline
title_auth	Information-Driven Machine Learning Data Science as an Engineering Discipline
title_exact_search	Information-Driven Machine Learning Data Science as an Engineering Discipline
title_full	Information-Driven Machine Learning Data Science as an Engineering Discipline by Gerald Friedland
title_fullStr	Information-Driven Machine Learning Data Science as an Engineering Discipline by Gerald Friedland
title_full_unstemmed	Information-Driven Machine Learning Data Science as an Engineering Discipline by Gerald Friedland
title_short	Information-Driven Machine Learning
title_sort	information driven machine learning data science as an engineering discipline
title_sub	Data Science as an Engineering Discipline
topic	Data Science Machine Learning Data Structures and Information Theory Knowledge Based Systems Artificial Intelligence Artificial intelligence / Data processing Machine learning Data structures (Computer science) Information theory Expert systems (Computer science) Artificial intelligence
topic_facet	Data Science Machine Learning Data Structures and Information Theory Knowledge Based Systems Artificial Intelligence Artificial intelligence / Data processing Machine learning Data structures (Computer science) Information theory Expert systems (Computer science) Artificial intelligence
url	https://doi.org/10.1007/978-3-031-39477-5
work_keys_str_mv	AT friedlandgerald informationdrivenmachinelearningdatascienceasanengineeringdiscipline

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