Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
München, Germany
Chistoph Molnar c/o MUCBOOK, Heidi Seibold
2023
|
Ausgabe: | First edition |
Schlagwörter: | |
Links: | http://digital.bib-bvb.de/webclient/DeliveryManager?pid=21104225&custom_att_2=simple_viewer |
Umfang: | 1 Online-Ressource (93 Seiten) Illustrationen |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV049392634 | ||
003 | DE-604 | ||
005 | 20240717 | ||
007 | cr|uuu---uuuuu | ||
008 | 231102s2023 xx a||| o|||| 00||| eng d | ||
020 | |z 9798377509356 |9 979-8-3775-0935-6 | ||
035 | |a (OCoLC)1409133569 | ||
035 | |a (DE-599)BVBBV049392634 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-355 | ||
100 | 1 | |a Molnar, Christoph |d 1989- |e Verfasser |0 (DE-588)1222925737 |4 aut | |
245 | 1 | 0 | |a Introduction to conformal prediction with Python |b a short guide for quantifying uncertainty of machine learning models |c Christoph Molnar |
250 | |a First edition | ||
264 | 1 | |a München, Germany |b Chistoph Molnar c/o MUCBOOK, Heidi Seibold |c 2023 | |
300 | |a 1 Online-Ressource (93 Seiten) |b Illustrationen | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
653 | 0 | |a Supervised learning (Machine learning) | |
653 | 0 | |a Python | |
653 | 0 | |a Machine learning | |
689 | 0 | 0 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
689 | 0 | 1 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 0 | |5 DE-604 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, Paperback |z 979-8-3775-0935-6 |w (DE-604)BV049491413 |
912 | |a ebook | ||
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-034720025 | |
966 | e | |u http://digital.bib-bvb.de/webclient/DeliveryManager?pid=21104225&custom_att_2=simple_viewer |l DE-355 |p ebook |q UBR Einzelkauf 2023 |x Aggregator |3 Volltext |
Datensatz im Suchindex
DE-BY-UBR_katkey | 6754591 |
---|---|
_version_ | 1835085126297452544 |
any_adam_object | |
author | Molnar, Christoph 1989- |
author_GND | (DE-588)1222925737 |
author_facet | Molnar, Christoph 1989- |
author_role | aut |
author_sort | Molnar, Christoph 1989- |
author_variant | c m cm |
building | Verbundindex |
bvnumber | BV049392634 |
collection | ebook |
ctrlnum | (OCoLC)1409133569 (DE-599)BVBBV049392634 |
edition | First edition |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01620nam a2200397 c 4500</leader><controlfield tag="001">BV049392634</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240717 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">231102s2023 xx a||| o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9798377509356</subfield><subfield code="9">979-8-3775-0935-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1409133569</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV049392634</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-355</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Molnar, Christoph</subfield><subfield code="d">1989-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1222925737</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Introduction to conformal prediction with Python</subfield><subfield code="b">a short guide for quantifying uncertainty of machine learning models</subfield><subfield code="c">Christoph Molnar</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">München, Germany</subfield><subfield code="b">Chistoph Molnar c/o MUCBOOK, Heidi Seibold</subfield><subfield code="c">2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (93 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">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</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="653" ind1=" " ind2="0"><subfield code="a">Supervised learning (Machine learning)</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Python</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Python</subfield><subfield code="g">Programmiersprache</subfield><subfield code="0">(DE-588)4434275-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe, Paperback</subfield><subfield code="z">979-8-3775-0935-6</subfield><subfield code="w">(DE-604)BV049491413</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034720025</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">http://digital.bib-bvb.de/webclient/DeliveryManager?pid=21104225&custom_att_2=simple_viewer</subfield><subfield code="l">DE-355</subfield><subfield code="p">ebook</subfield><subfield code="q">UBR Einzelkauf 2023</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV049392634 |
illustrated | Illustrated |
indexdate | 2024-12-20T20:10:49Z |
institution | BVB |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034720025 |
oclc_num | 1409133569 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR |
owner_facet | DE-355 DE-BY-UBR |
physical | 1 Online-Ressource (93 Seiten) Illustrationen |
psigel | ebook ebook UBR Einzelkauf 2023 |
publishDate | 2023 |
publishDateSearch | 2023 |
publishDateSort | 2023 |
publisher | Chistoph Molnar c/o MUCBOOK, Heidi Seibold |
record_format | marc |
spellingShingle | Molnar, Christoph 1989- Introduction to conformal prediction with Python a short guide for quantifying uncertainty of machine learning models Python Programmiersprache (DE-588)4434275-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)4434275-5 (DE-588)4193754-5 |
title | Introduction to conformal prediction with Python a short guide for quantifying uncertainty of machine learning models |
title_auth | Introduction to conformal prediction with Python a short guide for quantifying uncertainty of machine learning models |
title_exact_search | Introduction to conformal prediction with Python a short guide for quantifying uncertainty of machine learning models |
title_full | Introduction to conformal prediction with Python a short guide for quantifying uncertainty of machine learning models Christoph Molnar |
title_fullStr | Introduction to conformal prediction with Python a short guide for quantifying uncertainty of machine learning models Christoph Molnar |
title_full_unstemmed | Introduction to conformal prediction with Python a short guide for quantifying uncertainty of machine learning models Christoph Molnar |
title_short | Introduction to conformal prediction with Python |
title_sort | introduction to conformal prediction with python a short guide for quantifying uncertainty of machine learning models |
title_sub | a short guide for quantifying uncertainty of machine learning models |
topic | Python Programmiersprache (DE-588)4434275-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Python Programmiersprache Maschinelles Lernen |
work_keys_str_mv | AT molnarchristoph introductiontoconformalpredictionwithpythonashortguideforquantifyinguncertaintyofmachinelearningmodels |