Mastering machine learning with Python in six steps: a practical implementation guide to predictive data analytics using Python
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berkeley, CA
Apress
[2019]
|
| Edition: | Second edition |
| Subjects: | |
| Online Access: | FAW01 FHA01 FHD01 FHI01 FHM01 FHN01 FHO01 FHR01 FKE01 FWS01 FWS02 HTW01 UBW01 Volltext |
| Physical Description: | 1 Online-Ressource (XVII, 457 Seiten) 185 Illustrationen, 1 Illustration (farbig) |
| ISBN: | 9781484249475 |
| DOI: | 10.1007/978-1-4842-4947-5 |
Staff View
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV046230483 | ||
| 003 | DE-604 | ||
| 005 | 20230112 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 191105s2019 |||| o||u| ||||||eng d | ||
| 020 | |a 9781484249475 |c Online |9 978-1-4842-4947-5 | ||
| 024 | 7 | |a 10.1007/978-1-4842-4947-5 |2 doi | |
| 035 | |a (ZDB-2-CWD)9781484249475 | ||
| 035 | |a (OCoLC)1197137012 | ||
| 035 | |a (DE-599)BVBBV046230483 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-1046 |a DE-Aug4 |a DE-898 |a DE-M347 |a DE-573 |a DE-523 |a DE-859 |a DE-863 |a DE-20 |a DE-1051 |a DE-862 |a DE-92 |a DE-1050 |a DE-83 | ||
| 082 | 0 | |a 006.3 |2 23 | |
| 100 | 1 | |a Swamynathan, Manohar |e Verfasser |0 (DE-588)1202470572 |4 aut | |
| 245 | 1 | 0 | |a Mastering machine learning with Python in six steps |b a practical implementation guide to predictive data analytics using Python |c Manohar Swamynathan |
| 250 | |a Second edition | ||
| 264 | 1 | |a Berkeley, CA |b Apress |c [2019] | |
| 264 | 4 | |c © 2019 | |
| 300 | |a 1 Online-Ressource (XVII, 457 Seiten) |b 185 Illustrationen, 1 Illustration (farbig) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 650 | 4 | |a Artificial Intelligence | |
| 650 | 4 | |a Big Data | |
| 650 | 4 | |a Open Source | |
| 650 | 4 | |a Artificial intelligence | |
| 650 | 4 | |a Big data | |
| 650 | 4 | |a Open source software | |
| 650 | 4 | |a Computer programming | |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datenanalyse |0 (DE-588)4123037-1 |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 Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Datenanalyse |0 (DE-588)4123037-1 |D s |
| 689 | 0 | 1 | |a Big Data |0 (DE-588)4802620-7 |D s |
| 689 | 0 | 2 | |a Python |g Programmiersprache |0 (DE-588)4434275-5 |D s |
| 689 | 0 | 3 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 4 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4842-4946-8 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4842-4948-2 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4842-4947-5 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-30-PQE |a ZDB-2-CWD | ||
| 940 | 1 | |q ZDB-2-CWD_2019 | |
| 999 | |a oai:aleph.bib-bvb.de:BVB01-031608991 | ||
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l FAW01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l FHA01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=5915715 |l FHD01 |p ZDB-30-PQE |q FHD01_PQE_Kauf |x Aggregator |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l FHI01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l FHM01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l FHN01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l FHO01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l FHR01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l FKE01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l FWS01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l FWS02 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l HTW01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-4947-5 |l UBW01 |p ZDB-2-CWD |x Verlag |3 Volltext | |
Record in the Search Index
| DE-BY-FWS_katkey | 740725 |
|---|---|
| _version_ | 1824554900376256512 |
| any_adam_object | |
| author | Swamynathan, Manohar |
| author_GND | (DE-588)1202470572 |
| author_facet | Swamynathan, Manohar |
| author_role | aut |
| author_sort | Swamynathan, Manohar |
| author_variant | m s ms |
| building | Verbundindex |
| bvnumber | BV046230483 |
| collection | ZDB-30-PQE ZDB-2-CWD |
| ctrlnum | (ZDB-2-CWD)9781484249475 (OCoLC)1197137012 (DE-599)BVBBV046230483 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4842-4947-5 |
| edition | Second edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03661nmm a2200745zc 4500</leader><controlfield tag="001">BV046230483</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230112 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">191105s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484249475</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4842-4947-5</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4842-4947-5</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-CWD)9781484249475</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1197137012</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046230483</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-1046</subfield><subfield code="a">DE-Aug4</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-M347</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-523</subfield><subfield code="a">DE-859</subfield><subfield code="a">DE-863</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-862</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Swamynathan, Manohar</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1202470572</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Mastering machine learning with Python in six steps</subfield><subfield code="b">a practical implementation guide to predictive data analytics using Python</subfield><subfield code="c">Manohar Swamynathan</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">Second edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berkeley, CA</subfield><subfield code="b">Apress</subfield><subfield code="c">[2019]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">© 2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XVII, 457 Seiten)</subfield><subfield code="b">185 Illustrationen, 1 Illustration (farbig)</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=" " ind2="4"><subfield code="a">Artificial Intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Open Source</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial intelligence</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Open source software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer programming</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">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">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</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">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Datenanalyse</subfield><subfield code="0">(DE-588)4123037-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><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="2"><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="3"><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="4"><subfield code="a">Künstliche Intelligenz</subfield><subfield code="0">(DE-588)4033447-8</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</subfield><subfield code="z">978-1-4842-4946-8</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">978-1-4842-4948-2</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield><subfield code="a">ZDB-2-CWD</subfield></datafield><datafield tag="940" ind1="1" ind2=" "><subfield code="q">ZDB-2-CWD_2019</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031608991</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">FAW01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">FHA01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=5915715</subfield><subfield code="l">FHD01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="q">FHD01_PQE_Kauf</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">FHM01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">FHO01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">FKE01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">FWS01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">FWS02</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">HTW01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-4947-5</subfield><subfield code="l">UBW01</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV046230483 |
| illustrated | Not Illustrated |
| indexdate | 2025-02-20T06:59:07Z |
| institution | BVB |
| isbn | 9781484249475 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031608991 |
| oclc_num | 1197137012 |
| open_access_boolean | |
| owner | DE-1046 DE-Aug4 DE-898 DE-BY-UBR DE-M347 DE-573 DE-523 DE-859 DE-863 DE-BY-FWS DE-20 DE-1051 DE-862 DE-BY-FWS DE-92 DE-1050 DE-83 |
| owner_facet | DE-1046 DE-Aug4 DE-898 DE-BY-UBR DE-M347 DE-573 DE-523 DE-859 DE-863 DE-BY-FWS DE-20 DE-1051 DE-862 DE-BY-FWS DE-92 DE-1050 DE-83 |
| physical | 1 Online-Ressource (XVII, 457 Seiten) 185 Illustrationen, 1 Illustration (farbig) |
| psigel | ZDB-30-PQE ZDB-2-CWD ZDB-2-CWD_2019 ZDB-30-PQE FHD01_PQE_Kauf |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Apress |
| record_format | marc |
| spellingShingle | Swamynathan, Manohar Mastering machine learning with Python in six steps a practical implementation guide to predictive data analytics using Python Artificial Intelligence Big Data Open Source Artificial intelligence Big data Open source software Computer programming Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd Datenanalyse (DE-588)4123037-1 gnd Big Data (DE-588)4802620-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4434275-5 (DE-588)4123037-1 (DE-588)4802620-7 (DE-588)4033447-8 |
| title | Mastering machine learning with Python in six steps a practical implementation guide to predictive data analytics using Python |
| title_auth | Mastering machine learning with Python in six steps a practical implementation guide to predictive data analytics using Python |
| title_exact_search | Mastering machine learning with Python in six steps a practical implementation guide to predictive data analytics using Python |
| title_full | Mastering machine learning with Python in six steps a practical implementation guide to predictive data analytics using Python Manohar Swamynathan |
| title_fullStr | Mastering machine learning with Python in six steps a practical implementation guide to predictive data analytics using Python Manohar Swamynathan |
| title_full_unstemmed | Mastering machine learning with Python in six steps a practical implementation guide to predictive data analytics using Python Manohar Swamynathan |
| title_short | Mastering machine learning with Python in six steps |
| title_sort | mastering machine learning with python in six steps a practical implementation guide to predictive data analytics using python |
| title_sub | a practical implementation guide to predictive data analytics using Python |
| topic | Artificial Intelligence Big Data Open Source Artificial intelligence Big data Open source software Computer programming Maschinelles Lernen (DE-588)4193754-5 gnd Python Programmiersprache (DE-588)4434275-5 gnd Datenanalyse (DE-588)4123037-1 gnd Big Data (DE-588)4802620-7 gnd Künstliche Intelligenz (DE-588)4033447-8 gnd |
| topic_facet | Artificial Intelligence Big Data Open Source Artificial intelligence Big data Open source software Computer programming Maschinelles Lernen Python Programmiersprache Datenanalyse Künstliche Intelligenz |
| url | https://doi.org/10.1007/978-1-4842-4947-5 |
| work_keys_str_mv | AT swamynathanmanohar masteringmachinelearningwithpythoninsixstepsapracticalimplementationguidetopredictivedataanalyticsusingpython |