Holdings: Supervised and unsupervised learning for data science

Supervised and unsupervised learning for data science:

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Bibliographic Details
Other Authors:	Berry, Michael W. (Editor), Mohamed, Azlinah (Editor), Yap Bee Wah (Editor)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer [2020]
Series:	Unsupervised and Semi-Supervised Learning
Subjects:	Communications Engineering, Networks Signal, Image and Speech Processing Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Telecommunication Optical pattern recognition Artificial intelligence Data mining Überwachtes Lernen Data Mining Data Science
Online Access:	BTU01 FAB01 FAN01 FAW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHR01 FKE01 FLA01 FRO01 FWS01 FWS02 HTW01 TUM01 UBT01 UBY01 Volltext
Physical Description:	1 Online-Ressource (VIII, 187 Seiten) Illustrationen
ISBN:	9783030224752
DOI:	10.1007/978-3-030-22475-2

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series2	Unsupervised and Semi-Supervised Learning
spellingShingle	Supervised and unsupervised learning for data science Communications Engineering, Networks Signal, Image and Speech Processing Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Telecommunication Optical pattern recognition Artificial intelligence Data mining Überwachtes Lernen (DE-588)4580264-6 gnd Data Mining (DE-588)4428654-5 gnd Data Science (DE-588)1140936166 gnd
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title	Supervised and unsupervised learning for data science
title_auth	Supervised and unsupervised learning for data science
title_exact_search	Supervised and unsupervised learning for data science
title_full	Supervised and unsupervised learning for data science Michael W. Berry, Azlinah Mohamed, Bee Wah Yap, editors
title_fullStr	Supervised and unsupervised learning for data science Michael W. Berry, Azlinah Mohamed, Bee Wah Yap, editors
title_full_unstemmed	Supervised and unsupervised learning for data science Michael W. Berry, Azlinah Mohamed, Bee Wah Yap, editors
title_short	Supervised and unsupervised learning for data science
title_sort	supervised and unsupervised learning for data science
topic	Communications Engineering, Networks Signal, Image and Speech Processing Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Telecommunication Optical pattern recognition Artificial intelligence Data mining Überwachtes Lernen (DE-588)4580264-6 gnd Data Mining (DE-588)4428654-5 gnd Data Science (DE-588)1140936166 gnd
topic_facet	Communications Engineering, Networks Signal, Image and Speech Processing Pattern Recognition Artificial Intelligence Data Mining and Knowledge Discovery Telecommunication Optical pattern recognition Artificial intelligence Data mining Überwachtes Lernen Data Mining Data Science
url	https://doi.org/10.1007/978-3-030-22475-2
work_keys_str_mv	AT berrymichaelw supervisedandunsupervisedlearningfordatascience AT mohamedazlinah supervisedandunsupervisedlearningfordatascience AT yapbeewah supervisedandunsupervisedlearningfordatascience

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