Data science for the geosciences:
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2024
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Schlagworte: | |
Beschreibung: | xiii, 244 Seiten Illustrationen, Diagramme, Karten (teilweise farbig) |
ISBN: | 9781009201414 9781009201407 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
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005 | 20240710 | ||
007 | t | ||
008 | 230725s2024 a||| |||| 00||| eng d | ||
020 | |a 9781009201414 |c hardback |9 978-1-009-20141-4 | ||
020 | |a 9781009201407 |c paperback |9 978-1-009-20140-7 | ||
035 | |a (OCoLC)1388379701 | ||
035 | |a (DE-599)BVBBV049064072 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-188 |a DE-824 |a DE-29 |a DE-706 |a DE-11 |a DE-20 |a DE-83 | ||
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100 | 1 | |a Wang, Lijing |d 1995- |e Verfasser |0 (DE-588)130046786X |4 aut | |
245 | 1 | 0 | |a Data science for the geosciences |c Lijing Wang (Lawrence Berkeley National Lab, California), Zhen Yin (Standford University, California), Jef Caers (Standford University, California) |
264 | 1 | |a Cambridge |b Cambridge University Press |c 2024 | |
300 | |a xiii, 244 Seiten |b Illustrationen, Diagramme, Karten (teilweise farbig) | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
505 | 8 | |a "An accessible text that provides students and instructors with the data science foundations to address earth science questions using real-world case studies. Focusing on intuitive reasoning, students are encouraged to develop their understanding through exercises utilizing Python notebooks and real datasets"-- | |
650 | 0 | 7 | |a Datenverarbeitung |0 (DE-588)4011152-0 |2 gnd |9 rswk-swf |
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650 | 0 | 7 | |a Geostatistik |0 (DE-588)4020279-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Data Science |0 (DE-588)1140936166 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
653 | |a Analyse geowissenschaftlicher Daten | ||
653 | 0 | |a Earth sciences / Statistical methods | |
653 | 0 | |a Earth sciences / Data processing | |
689 | 0 | 0 | |a Geostatistik |0 (DE-588)4020279-3 |D s |
689 | 0 | 1 | |a Geowissenschaften |0 (DE-588)4020288-4 |D s |
689 | 0 | 2 | |a Datenverarbeitung |0 (DE-588)4011152-0 |D s |
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700 | 1 | |a Yin, Zhen |d 1989- |e Verfasser |0 (DE-588)1300468653 |4 aut | |
700 | 1 | |a Caers, Jef |d 1969- |e Verfasser |0 (DE-588)1163953237 |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-009-20139-1 |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034326162 |
Datensatz im Suchindex
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adam_text | |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Wang, Lijing 1995- Yin, Zhen 1989- Caers, Jef 1969- |
author_GND | (DE-588)130046786X (DE-588)1300468653 (DE-588)1163953237 |
author_facet | Wang, Lijing 1995- Yin, Zhen 1989- Caers, Jef 1969- |
author_role | aut aut aut |
author_sort | Wang, Lijing 1995- |
author_variant | l w lw z y zy j c jc |
building | Verbundindex |
bvnumber | BV049064072 |
classification_rvk | RB 10103 RB 10104 AR 14120 TG 1111 |
contents | "An accessible text that provides students and instructors with the data science foundations to address earth science questions using real-world case studies. Focusing on intuitive reasoning, students are encouraged to develop their understanding through exercises utilizing Python notebooks and real datasets"-- |
ctrlnum | (OCoLC)1388379701 (DE-599)BVBBV049064072 |
discipline | Allgemeines Geologie / Paläontologie Geographie |
discipline_str_mv | Geologie / Paläontologie Geographie |
format | Book |
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id | DE-604.BV049064072 |
illustrated | Illustrated |
index_date | 2024-07-03T22:25:05Z |
indexdate | 2024-08-10T01:42:15Z |
institution | BVB |
isbn | 9781009201414 9781009201407 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034326162 |
oclc_num | 1388379701 |
open_access_boolean | |
owner | DE-188 DE-824 DE-29 DE-706 DE-11 DE-20 DE-83 |
owner_facet | DE-188 DE-824 DE-29 DE-706 DE-11 DE-20 DE-83 |
physical | xiii, 244 Seiten Illustrationen, Diagramme, Karten (teilweise farbig) |
publishDate | 2024 |
publishDateSearch | 2024 |
publishDateSort | 2024 |
publisher | Cambridge University Press |
record_format | marc |
spelling | Wang, Lijing 1995- Verfasser (DE-588)130046786X aut Data science for the geosciences Lijing Wang (Lawrence Berkeley National Lab, California), Zhen Yin (Standford University, California), Jef Caers (Standford University, California) Cambridge Cambridge University Press 2024 xiii, 244 Seiten Illustrationen, Diagramme, Karten (teilweise farbig) txt rdacontent n rdamedia nc rdacarrier "An accessible text that provides students and instructors with the data science foundations to address earth science questions using real-world case studies. Focusing on intuitive reasoning, students are encouraged to develop their understanding through exercises utilizing Python notebooks and real datasets"-- Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Geowissenschaften (DE-588)4020288-4 gnd rswk-swf Geostatistik (DE-588)4020279-3 gnd rswk-swf Data Science (DE-588)1140936166 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Analyse geowissenschaftlicher Daten Earth sciences / Statistical methods Earth sciences / Data processing Geostatistik (DE-588)4020279-3 s Geowissenschaften (DE-588)4020288-4 s Datenverarbeitung (DE-588)4011152-0 s Data Science (DE-588)1140936166 s Maschinelles Lernen (DE-588)4193754-5 s DE-188 Yin, Zhen 1989- Verfasser (DE-588)1300468653 aut Caers, Jef 1969- Verfasser (DE-588)1163953237 aut Erscheint auch als Online-Ausgabe 978-1-009-20139-1 |
spellingShingle | Wang, Lijing 1995- Yin, Zhen 1989- Caers, Jef 1969- Data science for the geosciences "An accessible text that provides students and instructors with the data science foundations to address earth science questions using real-world case studies. Focusing on intuitive reasoning, students are encouraged to develop their understanding through exercises utilizing Python notebooks and real datasets"-- Datenverarbeitung (DE-588)4011152-0 gnd Geowissenschaften (DE-588)4020288-4 gnd Geostatistik (DE-588)4020279-3 gnd Data Science (DE-588)1140936166 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4011152-0 (DE-588)4020288-4 (DE-588)4020279-3 (DE-588)1140936166 (DE-588)4193754-5 |
title | Data science for the geosciences |
title_auth | Data science for the geosciences |
title_exact_search | Data science for the geosciences |
title_exact_search_txtP | Data science for the geosciences |
title_full | Data science for the geosciences Lijing Wang (Lawrence Berkeley National Lab, California), Zhen Yin (Standford University, California), Jef Caers (Standford University, California) |
title_fullStr | Data science for the geosciences Lijing Wang (Lawrence Berkeley National Lab, California), Zhen Yin (Standford University, California), Jef Caers (Standford University, California) |
title_full_unstemmed | Data science for the geosciences Lijing Wang (Lawrence Berkeley National Lab, California), Zhen Yin (Standford University, California), Jef Caers (Standford University, California) |
title_short | Data science for the geosciences |
title_sort | data science for the geosciences |
topic | Datenverarbeitung (DE-588)4011152-0 gnd Geowissenschaften (DE-588)4020288-4 gnd Geostatistik (DE-588)4020279-3 gnd Data Science (DE-588)1140936166 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Datenverarbeitung Geowissenschaften Geostatistik Data Science Maschinelles Lernen |
work_keys_str_mv | AT wanglijing datascienceforthegeosciences AT yinzhen datascienceforthegeosciences AT caersjef datascienceforthegeosciences |