Hands-on gradient boosting with XGBoost and scikit-learn: perform accessible machine learning and extreme gradient boosting with Python
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Birmingham, UK
Packt Publishing
2020
|
Schlagworte: | |
Online-Zugang: | FWS01 FWS02 |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | Online-Ressource (282 Seiten) Illustrationen, Diagramme |
ISBN: | 9781839213809 |
Internformat
MARC
LEADER | 00000nmm a22000001c 4500 | ||
---|---|---|---|
001 | BV048962291 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 230516s2020 |||| o||u| ||||||eng d | ||
020 | |a 9781839213809 |c Online |9 978-1-83921-380-9 | ||
035 | |a (OCoLC)1379370904 | ||
035 | |a (DE-599)BVBBV048962291 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-862 |a DE-863 | ||
100 | 1 | |a Wade, Corey J. |e Verfasser |0 (DE-588)1281526185 |4 aut | |
245 | 1 | 0 | |a Hands-on gradient boosting with XGBoost and scikit-learn |b perform accessible machine learning and extreme gradient boosting with Python |c Corey Wade |
264 | 1 | |a Birmingham, UK |b Packt Publishing |c 2020 | |
300 | |a Online-Ressource (282 Seiten) |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
500 | |a Includes bibliographical references and index | ||
653 | 0 | |a Machine Theory | |
653 | 0 | |a Data Science | |
653 | 0 | |a Neural Networks | |
653 | 0 | |a Mathematical & Statistical Software | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-83921-835-4 |
912 | |a ZDB-30-PQE | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-034226036 | ||
966 | e | |u https://ebookcentral.proquest.com/lib/fhws/detail.action?docID=6414484 |l FWS01 |p ZDB-30-PQE |x Aggregator |3 Volltext | |
966 | e | |u https://ebookcentral.proquest.com/lib/fhws/detail.action?docID=6414484 |l FWS02 |p ZDB-30-PQE |x Aggregator |3 Volltext |
Datensatz im Suchindex
DE-BY-FWS_katkey | 1042491 |
---|---|
_version_ | 1806175210830823424 |
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Wade, Corey J. |
author_GND | (DE-588)1281526185 |
author_facet | Wade, Corey J. |
author_role | aut |
author_sort | Wade, Corey J. |
author_variant | c j w cj cjw |
building | Verbundindex |
bvnumber | BV048962291 |
collection | ZDB-30-PQE |
ctrlnum | (OCoLC)1379370904 (DE-599)BVBBV048962291 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01453nmm a22003611c 4500</leader><controlfield tag="001">BV048962291</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">230516s2020 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781839213809</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-83921-380-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1379370904</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048962291</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-862</subfield><subfield code="a">DE-863</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wade, Corey J.</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1281526185</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Hands-on gradient boosting with XGBoost and scikit-learn</subfield><subfield code="b">perform accessible machine learning and extreme gradient boosting with Python</subfield><subfield code="c">Corey Wade</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK</subfield><subfield code="b">Packt Publishing</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource (282 Seiten)</subfield><subfield code="b">Illustrationen, Diagramme</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="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Machine Theory</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Data Science</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Neural Networks</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Mathematical & Statistical Software</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-83921-835-4</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-034226036</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/fhws/detail.action?docID=6414484</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/fhws/detail.action?docID=6414484</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV048962291 |
illustrated | Not Illustrated |
index_date | 2024-07-03T22:00:47Z |
indexdate | 2024-08-01T11:01:48Z |
institution | BVB |
isbn | 9781839213809 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034226036 |
oclc_num | 1379370904 |
open_access_boolean | |
owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
physical | Online-Ressource (282 Seiten) Illustrationen, Diagramme |
psigel | ZDB-30-PQE |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | Packt Publishing |
record_format | marc |
spellingShingle | Wade, Corey J. Hands-on gradient boosting with XGBoost and scikit-learn perform accessible machine learning and extreme gradient boosting with Python |
title | Hands-on gradient boosting with XGBoost and scikit-learn perform accessible machine learning and extreme gradient boosting with Python |
title_auth | Hands-on gradient boosting with XGBoost and scikit-learn perform accessible machine learning and extreme gradient boosting with Python |
title_exact_search | Hands-on gradient boosting with XGBoost and scikit-learn perform accessible machine learning and extreme gradient boosting with Python |
title_exact_search_txtP | Hands-on gradient boosting with XGBoost and scikit-learn perform accessible machine learning and extreme gradient boosting with Python |
title_full | Hands-on gradient boosting with XGBoost and scikit-learn perform accessible machine learning and extreme gradient boosting with Python Corey Wade |
title_fullStr | Hands-on gradient boosting with XGBoost and scikit-learn perform accessible machine learning and extreme gradient boosting with Python Corey Wade |
title_full_unstemmed | Hands-on gradient boosting with XGBoost and scikit-learn perform accessible machine learning and extreme gradient boosting with Python Corey Wade |
title_short | Hands-on gradient boosting with XGBoost and scikit-learn |
title_sort | hands on gradient boosting with xgboost and scikit learn perform accessible machine learning and extreme gradient boosting with python |
title_sub | perform accessible machine learning and extreme gradient boosting with Python |
work_keys_str_mv | AT wadecoreyj handsongradientboostingwithxgboostandscikitlearnperformaccessiblemachinelearningandextremegradientboostingwithpython |