Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt
April 2019
|
| Schlagwörter: | |
| Umfang: | v, 382 Seiten Illustrationen |
| ISBN: | 9781789954920 |
Internformat
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV045564876 | ||
| 003 | DE-604 | ||
| 005 | 20190626 | ||
| 007 | t| | ||
| 008 | 190418s2019 xx a||| |||| 00||| eng d | ||
| 020 | |a 9781789954920 |9 978-1-78995-492-0 | ||
| 035 | |a (OCoLC)1104873227 | ||
| 035 | |a (DE-599)BVBBV045564876 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91G | ||
| 084 | |a DAT 708f |2 stub | ||
| 084 | |a DAT 366f |2 stub | ||
| 100 | 1 | |a Johnston, Benjamin |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Applied supervised learning with Python |b use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning |c Benjamin Johnston and Ishita Mathur |
| 264 | 1 | |a Birmingham, UK |b Packt |c April 2019 | |
| 300 | |a v, 382 Seiten |b Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 650 | 0 | 7 | |a Überwachtes Lernen |0 (DE-588)4580264-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Python 3.7 |0 (DE-588)1155266803 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Überwachtes Lernen |0 (DE-588)4580264-6 |D s |
| 689 | 0 | 1 | |a Python 3.7 |0 (DE-588)1155266803 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Mathur, Ishita |e Verfasser |4 aut | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-030948563 | |
Datensatz im Suchindex
| DE-BY-TUM_call_number | 0102 DAT 708f 2019 A 2802 |
|---|---|
| DE-BY-TUM_katkey | 2402351 |
| DE-BY-TUM_location | 01 |
| DE-BY-TUM_media_number | 040008858099 |
| _version_ | 1821935932207529984 |
| any_adam_object | |
| author | Johnston, Benjamin Mathur, Ishita |
| author_facet | Johnston, Benjamin Mathur, Ishita |
| author_role | aut aut |
| author_sort | Johnston, Benjamin |
| author_variant | b j bj i m im |
| building | Verbundindex |
| bvnumber | BV045564876 |
| classification_tum | DAT 708f DAT 366f |
| ctrlnum | (OCoLC)1104873227 (DE-599)BVBBV045564876 |
| discipline | Informatik |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01246nam a2200349 c 4500</leader><controlfield tag="001">BV045564876</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20190626 </controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">190418s2019 xx a||| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781789954920</subfield><subfield code="9">978-1-78995-492-0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1104873227</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV045564876</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-91G</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 708f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 366f</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Johnston, Benjamin</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Applied supervised learning with Python</subfield><subfield code="b">use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning</subfield><subfield code="c">Benjamin Johnston and Ishita Mathur</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Birmingham, UK</subfield><subfield code="b">Packt</subfield><subfield code="c">April 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">v, 382 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="650" ind1="0" ind2="7"><subfield code="a">Überwachtes Lernen</subfield><subfield code="0">(DE-588)4580264-6</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Python 3.7</subfield><subfield code="0">(DE-588)1155266803</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Überwachtes Lernen</subfield><subfield code="0">(DE-588)4580264-6</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Python 3.7</subfield><subfield code="0">(DE-588)1155266803</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mathur, Ishita</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-030948563</subfield></datafield></record></collection> |
| id | DE-604.BV045564876 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:30:30Z |
| institution | BVB |
| isbn | 9781789954920 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030948563 |
| oclc_num | 1104873227 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM |
| owner_facet | DE-91G DE-BY-TUM |
| physical | v, 382 Seiten Illustrationen |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Packt |
| record_format | marc |
| spellingShingle | Johnston, Benjamin Mathur, Ishita Applied supervised learning with Python use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning Überwachtes Lernen (DE-588)4580264-6 gnd Python 3.7 (DE-588)1155266803 gnd |
| subject_GND | (DE-588)4580264-6 (DE-588)1155266803 |
| title | Applied supervised learning with Python use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning |
| title_auth | Applied supervised learning with Python use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning |
| title_exact_search | Applied supervised learning with Python use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning |
| title_full | Applied supervised learning with Python use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning Benjamin Johnston and Ishita Mathur |
| title_fullStr | Applied supervised learning with Python use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning Benjamin Johnston and Ishita Mathur |
| title_full_unstemmed | Applied supervised learning with Python use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning Benjamin Johnston and Ishita Mathur |
| title_short | Applied supervised learning with Python |
| title_sort | applied supervised learning with python use scikit learn to build predictive models from real world datasets and prepare yourself for the future of machine learning |
| title_sub | use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning |
| topic | Überwachtes Lernen (DE-588)4580264-6 gnd Python 3.7 (DE-588)1155266803 gnd |
| topic_facet | Überwachtes Lernen Python 3.7 |
| work_keys_str_mv | AT johnstonbenjamin appliedsupervisedlearningwithpythonusescikitlearntobuildpredictivemodelsfromrealworlddatasetsandprepareyourselfforthefutureofmachinelearning AT mathurishita appliedsupervisedlearningwithpythonusescikitlearntobuildpredictivemodelsfromrealworlddatasetsandprepareyourselfforthefutureofmachinelearning |
Teilbibliothek Mathematik & Informatik
| Signatur: | 0102 DAT 708f 2019 A 2802 |
|---|---|
| Exemplar 1 | Ausleihbar Am Standort |