Big data:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Cambridge ; New York ; Port Melbourne ; New Delhi ; Singapore
Cambridge University Press
2021
|
Schriftenreihe: | Elements in the philosophy of science
Cambridge elements |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | 77 Seiten Illustrationen |
ISBN: | 9781108706698 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV047126154 | ||
003 | DE-604 | ||
005 | 20210923 | ||
007 | t | ||
008 | 210204s2021 a||| |||| 00||| eng d | ||
020 | |a 9781108706698 |c paperback |9 978-1-108-70669-8 | ||
035 | |a (OCoLC)1241674072 | ||
035 | |a (DE-599)OBVAC16135648 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-91 |a DE-12 |a DE-355 | ||
084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
084 | |a DAT 620 |2 stub | ||
084 | |a SOZ 610 |2 stub | ||
100 | 1 | |a Pietsch, Wolfgang |e Verfasser |0 (DE-588)1234460971 |4 aut | |
245 | 1 | 0 | |a Big data |c Wolfgang Pietsch, Technical University of Munich |
264 | 1 | |a Cambridge ; New York ; Port Melbourne ; New Delhi ; Singapore |b Cambridge University Press |c 2021 | |
300 | |a 77 Seiten |b Illustrationen | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 0 | |a Elements in the philosophy of science | |
490 | 0 | |a Cambridge elements | |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Wissenschaftsphilosophie |0 (DE-588)4202787-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Big Data |0 (DE-588)4802620-7 |D s |
689 | 0 | 1 | |a Wissenschaftsphilosophie |0 (DE-588)4202787-1 |D s |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Big Data |0 (DE-588)4802620-7 |D s |
689 | 1 | 1 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
689 | 1 | 2 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 1 | |5 DE-604 | |
856 | 4 | 2 | |m Digitalisierung BSB München - ADAM Catalogue Enrichment |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032532385&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
999 | |a oai:aleph.bib-bvb.de:BVB01-032532385 |
Datensatz im Suchindex
_version_ | 1804182174698569728 |
---|---|
adam_text | Contents 1 Introduction 1 2 Defining Big Data 4 3 Inductivism 15 4 Machine Learning as Variational Induction 25 5 Correlation and Causation 52 6 The Role of Theory 62 7 Novel Scientific Methodology? 67 8 Conclusion 69 References 71
|
adam_txt |
Contents 1 Introduction 1 2 Defining Big Data 4 3 Inductivism 15 4 Machine Learning as Variational Induction 25 5 Correlation and Causation 52 6 The Role of Theory 62 7 Novel Scientific Methodology? 67 8 Conclusion 69 References 71 |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Pietsch, Wolfgang |
author_GND | (DE-588)1234460971 |
author_facet | Pietsch, Wolfgang |
author_role | aut |
author_sort | Pietsch, Wolfgang |
author_variant | w p wp |
building | Verbundindex |
bvnumber | BV047126154 |
classification_rvk | ST 530 |
classification_tum | DAT 620 SOZ 610 |
ctrlnum | (OCoLC)1241674072 (DE-599)OBVAC16135648 |
discipline | Informatik Soziologie |
discipline_str_mv | Informatik Soziologie |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01886nam a2200457 c 4500</leader><controlfield tag="001">BV047126154</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20210923 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">210204s2021 a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781108706698</subfield><subfield code="c">paperback</subfield><subfield code="9">978-1-108-70669-8</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1241674072</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)OBVAC16135648</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield><subfield code="a">DE-12</subfield><subfield code="a">DE-355</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 530</subfield><subfield code="0">(DE-625)143679:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 620</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">SOZ 610</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pietsch, Wolfgang</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1234460971</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Big data</subfield><subfield code="c">Wolfgang Pietsch, Technical University of Munich</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Cambridge ; New York ; Port Melbourne ; New Delhi ; Singapore</subfield><subfield code="b">Cambridge University Press</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">77 Seiten</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Elements in the philosophy of science</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Cambridge elements</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Wissenschaftsphilosophie</subfield><subfield code="0">(DE-588)4202787-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Wissenschaftsphilosophie</subfield><subfield code="0">(DE-588)4202787-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Big Data</subfield><subfield code="0">(DE-588)4802620-7</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="2"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="m">Digitalisierung BSB München - ADAM Catalogue Enrichment</subfield><subfield code="q">application/pdf</subfield><subfield code="u">http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032532385&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA</subfield><subfield code="3">Inhaltsverzeichnis</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032532385</subfield></datafield></record></collection> |
id | DE-604.BV047126154 |
illustrated | Illustrated |
index_date | 2024-07-03T16:30:43Z |
indexdate | 2024-07-10T09:03:22Z |
institution | BVB |
isbn | 9781108706698 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032532385 |
oclc_num | 1241674072 |
open_access_boolean | |
owner | DE-91 DE-BY-TUM DE-12 DE-355 DE-BY-UBR |
owner_facet | DE-91 DE-BY-TUM DE-12 DE-355 DE-BY-UBR |
physical | 77 Seiten Illustrationen |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Cambridge University Press |
record_format | marc |
series2 | Elements in the philosophy of science Cambridge elements |
spelling | Pietsch, Wolfgang Verfasser (DE-588)1234460971 aut Big data Wolfgang Pietsch, Technical University of Munich Cambridge ; New York ; Port Melbourne ; New Delhi ; Singapore Cambridge University Press 2021 77 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Elements in the philosophy of science Cambridge elements Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Wissenschaftsphilosophie (DE-588)4202787-1 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Big Data (DE-588)4802620-7 s Wissenschaftsphilosophie (DE-588)4202787-1 s DE-604 Datenanalyse (DE-588)4123037-1 s Maschinelles Lernen (DE-588)4193754-5 s Digitalisierung BSB München - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032532385&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Pietsch, Wolfgang Big data Maschinelles Lernen (DE-588)4193754-5 gnd Wissenschaftsphilosophie (DE-588)4202787-1 gnd Big Data (DE-588)4802620-7 gnd Datenanalyse (DE-588)4123037-1 gnd |
subject_GND | (DE-588)4193754-5 (DE-588)4202787-1 (DE-588)4802620-7 (DE-588)4123037-1 |
title | Big data |
title_auth | Big data |
title_exact_search | Big data |
title_exact_search_txtP | Big data |
title_full | Big data Wolfgang Pietsch, Technical University of Munich |
title_fullStr | Big data Wolfgang Pietsch, Technical University of Munich |
title_full_unstemmed | Big data Wolfgang Pietsch, Technical University of Munich |
title_short | Big data |
title_sort | big data |
topic | Maschinelles Lernen (DE-588)4193754-5 gnd Wissenschaftsphilosophie (DE-588)4202787-1 gnd Big Data (DE-588)4802620-7 gnd Datenanalyse (DE-588)4123037-1 gnd |
topic_facet | Maschinelles Lernen Wissenschaftsphilosophie Big Data Datenanalyse |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032532385&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT pietschwolfgang bigdata |