97 things about ethics everyone in data science should know: collective wisdom from the experts
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collec...
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Sebastopol, California
O'Reilly
©2020
|
Ausgabe: | First edition |
Schlagworte: | |
Zusammenfassung: | Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today |
Beschreibung: | xix, 323 Seiten Illustrationen 23 cm |
ISBN: | 9781492072669 1492072664 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV048412065 | ||
003 | DE-604 | ||
005 | 20220908 | ||
007 | t | ||
008 | 220817s2020 a||| |||| 00||| eng d | ||
015 | |a GBC0D0868 |2 dnb | ||
020 | |a 9781492072669 |9 978-1-4920-7266-9 | ||
020 | |a 1492072664 |9 1-4920-7266-4 | ||
035 | |a (OCoLC)1225958431 | ||
035 | |a (DE-599)BVBBV048412065 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-188 | ||
084 | |a AP 15943 |0 (DE-625)6956: |2 rvk | ||
084 | |a ST 530 |0 (DE-625)143679: |2 rvk | ||
084 | |a AK 54400 |0 (DE-625)164535: |2 rvk | ||
100 | 1 | |a Franks, Bill |d 1968- |e Verfasser |0 (DE-588)1022909312 |4 aut | |
245 | 1 | 0 | |a 97 things about ethics everyone in data science should know |b collective wisdom from the experts |c [edited by] Bill Franks |
250 | |a First edition | ||
264 | 1 | |a Sebastopol, California |b O'Reilly |c ©2020 | |
300 | |a xix, 323 Seiten |b Illustrationen |c 23 cm | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
520 | |a Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today | ||
650 | 4 | |a Data mining / Social aspects | |
650 | 4 | |a Data mining / Ethics | |
650 | 4 | |a Artificial intelligence / Ethics | |
650 | 4 | |a Machine learning / Ethics | |
650 | 4 | |a Exploration de données (Informatique) / Aspect social | |
650 | 4 | |a Exploration de données (Informatique) / Morale | |
650 | 4 | |a Intelligence artificielle / Morale | |
650 | 4 | |a Apprentissage automatique / Morale | |
650 | 7 | |a Data mining / Social aspects |2 fast | |
650 | 7 | |a Ethics |2 fast | |
655 | 7 | |0 (DE-588)4143413-4 |a Aufsatzsammlung |2 gnd-content | |
999 | |a oai:aleph.bib-bvb.de:BVB01-033790508 |
Datensatz im Suchindex
_version_ | 1804184321729232896 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Franks, Bill 1968- |
author_GND | (DE-588)1022909312 |
author_facet | Franks, Bill 1968- |
author_role | aut |
author_sort | Franks, Bill 1968- |
author_variant | b f bf |
building | Verbundindex |
bvnumber | BV048412065 |
classification_rvk | AP 15943 ST 530 AK 54400 |
ctrlnum | (OCoLC)1225958431 (DE-599)BVBBV048412065 |
discipline | Allgemeines Informatik |
discipline_str_mv | Allgemeines Informatik |
edition | First edition |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02013nam a2200469 c 4500</leader><controlfield tag="001">BV048412065</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220908 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">220817s2020 a||| |||| 00||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">GBC0D0868</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781492072669</subfield><subfield code="9">978-1-4920-7266-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1492072664</subfield><subfield code="9">1-4920-7266-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1225958431</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048412065</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-188</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">AP 15943</subfield><subfield code="0">(DE-625)6956:</subfield><subfield code="2">rvk</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">AK 54400</subfield><subfield code="0">(DE-625)164535:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Franks, Bill</subfield><subfield code="d">1968-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1022909312</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">97 things about ethics everyone in data science should know</subfield><subfield code="b">collective wisdom from the experts</subfield><subfield code="c">[edited by] Bill Franks</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Sebastopol, California</subfield><subfield code="b">O'Reilly</subfield><subfield code="c">©2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xix, 323 Seiten</subfield><subfield code="b">Illustrationen</subfield><subfield code="c">23 cm</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="520" ind1=" " ind2=" "><subfield code="a">Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining / Social aspects</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining / Ethics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence / Ethics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine learning / Ethics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique) / Aspect social</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique) / Morale</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Intelligence artificielle / Morale</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique / Morale</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Data mining / Social aspects</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Ethics</subfield><subfield code="2">fast</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4143413-4</subfield><subfield code="a">Aufsatzsammlung</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033790508</subfield></datafield></record></collection> |
genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
genre_facet | Aufsatzsammlung |
id | DE-604.BV048412065 |
illustrated | Illustrated |
index_date | 2024-07-03T20:25:09Z |
indexdate | 2024-07-10T09:37:29Z |
institution | BVB |
isbn | 9781492072669 1492072664 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033790508 |
oclc_num | 1225958431 |
open_access_boolean | |
owner | DE-188 |
owner_facet | DE-188 |
physical | xix, 323 Seiten Illustrationen 23 cm |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | O'Reilly |
record_format | marc |
spelling | Franks, Bill 1968- Verfasser (DE-588)1022909312 aut 97 things about ethics everyone in data science should know collective wisdom from the experts [edited by] Bill Franks First edition Sebastopol, California O'Reilly ©2020 xix, 323 Seiten Illustrationen 23 cm txt rdacontent n rdamedia nc rdacarrier Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today Data mining / Social aspects Data mining / Ethics Artificial intelligence / Ethics Machine learning / Ethics Exploration de données (Informatique) / Aspect social Exploration de données (Informatique) / Morale Intelligence artificielle / Morale Apprentissage automatique / Morale Data mining / Social aspects fast Ethics fast (DE-588)4143413-4 Aufsatzsammlung gnd-content |
spellingShingle | Franks, Bill 1968- 97 things about ethics everyone in data science should know collective wisdom from the experts Data mining / Social aspects Data mining / Ethics Artificial intelligence / Ethics Machine learning / Ethics Exploration de données (Informatique) / Aspect social Exploration de données (Informatique) / Morale Intelligence artificielle / Morale Apprentissage automatique / Morale Data mining / Social aspects fast Ethics fast |
subject_GND | (DE-588)4143413-4 |
title | 97 things about ethics everyone in data science should know collective wisdom from the experts |
title_auth | 97 things about ethics everyone in data science should know collective wisdom from the experts |
title_exact_search | 97 things about ethics everyone in data science should know collective wisdom from the experts |
title_exact_search_txtP | 97 things about ethics everyone in data science should know collective wisdom from the experts |
title_full | 97 things about ethics everyone in data science should know collective wisdom from the experts [edited by] Bill Franks |
title_fullStr | 97 things about ethics everyone in data science should know collective wisdom from the experts [edited by] Bill Franks |
title_full_unstemmed | 97 things about ethics everyone in data science should know collective wisdom from the experts [edited by] Bill Franks |
title_short | 97 things about ethics everyone in data science should know |
title_sort | 97 things about ethics everyone in data science should know collective wisdom from the experts |
title_sub | collective wisdom from the experts |
topic | Data mining / Social aspects Data mining / Ethics Artificial intelligence / Ethics Machine learning / Ethics Exploration de données (Informatique) / Aspect social Exploration de données (Informatique) / Morale Intelligence artificielle / Morale Apprentissage automatique / Morale Data mining / Social aspects fast Ethics fast |
topic_facet | Data mining / Social aspects Data mining / Ethics Artificial intelligence / Ethics Machine learning / Ethics Exploration de données (Informatique) / Aspect social Exploration de données (Informatique) / Morale Intelligence artificielle / Morale Apprentissage automatique / Morale Ethics Aufsatzsammlung |
work_keys_str_mv | AT franksbill 97thingsaboutethicseveryoneindatascienceshouldknowcollectivewisdomfromtheexperts |