Agile machine learning: effective machine learning inspired by the Agile Manifesto
Gespeichert in:
| Beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Berkeley, CA
Apress
[2019]
|
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=5879995 https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 https://doi.org/10.1007/978-1-4842-5107-2 |
| Umfang: | 1 Online-Ressource (XVII, 248 Seiten) 35 Illustrationen |
| ISBN: | 9781484251072 |
| DOI: | 10.1007/978-1-4842-5107-2 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV046138064 | ||
| 003 | DE-604 | ||
| 005 | 20230208 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 190903s2019 xx a||| o|||| 00||| eng d | ||
| 020 | |a 9781484251072 |c Online |9 978-1-4842-5107-2 | ||
| 024 | 7 | |a 10.1007/978-1-4842-5107-2 |2 doi | |
| 035 | |a (ZDB-2-CWD)9781484251072 | ||
| 035 | |a (OCoLC)1137372948 | ||
| 035 | |a (DE-599)BVBBV046138064 | ||
| 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 004.165 |2 23 | |
| 084 | |a ST 300 |0 (DE-625)143650: |2 rvk | ||
| 100 | 1 | |a Carter, Eric |e Verfasser |0 (DE-588)1194024580 |4 aut | |
| 245 | 1 | 0 | |a Agile machine learning |b effective machine learning inspired by the Agile Manifesto |c Eric Carter, Matthew Hurst |
| 264 | 1 | |a Berkeley, CA |b Apress |c [2019] | |
| 264 | 4 | |c © 2019 | |
| 300 | |a 1 Online-Ressource (XVII, 248 Seiten) |b 35 Illustrationen | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 650 | 4 | |a Microsoft and .NET. | |
| 650 | 4 | |a Software Engineering | |
| 650 | 4 | |a Big Data | |
| 650 | 4 | |a Microsoft software | |
| 650 | 4 | |a Microsoft .NET Framework | |
| 650 | 4 | |a Software engineering | |
| 650 | 4 | |a Big data | |
| 650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Software Engineering |0 (DE-588)4116521-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Big Data |0 (DE-588)4802620-7 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
| 689 | 0 | 1 | |a Big Data |0 (DE-588)4802620-7 |D s |
| 689 | 0 | 2 | |a Software Engineering |0 (DE-588)4116521-4 |D s |
| 689 | 0 | |5 DE-604 | |
| 700 | 1 | |a Hurst, Matthew |e Verfasser |0 (DE-588)1194024688 |4 aut | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4842-5106-5 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4842-5108-9 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4842-5107-2 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-30-PQE | ||
| 912 | |a ZDB-2-CWD | ||
| 940 | 1 | |q ZDB-2-CWD_2019 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-031518365 | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-1046 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-Aug4 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=5879995 |l DE-1050 |p ZDB-30-PQE |q FHD01_PQE_Kauf |x Aggregator |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-573 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-M347 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-92 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-1051 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-898 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-859 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-863 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-862 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-523 |p ZDB-2-CWD |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-4842-5107-2 |l DE-20 |p ZDB-2-CWD |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1818986016062570496 |
|---|---|
| any_adam_object | |
| author | Carter, Eric Hurst, Matthew |
| author_GND | (DE-588)1194024580 (DE-588)1194024688 |
| author_facet | Carter, Eric Hurst, Matthew |
| author_role | aut aut |
| author_sort | Carter, Eric |
| author_variant | e c ec m h mh |
| building | Verbundindex |
| bvnumber | BV046138064 |
| classification_rvk | ST 300 |
| collection | ZDB-30-PQE ZDB-2-CWD |
| ctrlnum | (ZDB-2-CWD)9781484251072 (OCoLC)1137372948 (DE-599)BVBBV046138064 |
| dewey-full | 004.165 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 004 - Computer science |
| dewey-raw | 004.165 |
| dewey-search | 004.165 |
| dewey-sort | 14.165 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4842-5107-2 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03445nam a2200721zc 4500</leader><controlfield tag="001">BV046138064</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20230208 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">190903s2019 xx a||| o|||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484251072</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4842-5107-2</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4842-5107-2</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-CWD)9781484251072</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1137372948</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV046138064</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">004.165</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 300</subfield><subfield code="0">(DE-625)143650:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Carter, Eric</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1194024580</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Agile machine learning</subfield><subfield code="b">effective machine learning inspired by the Agile Manifesto</subfield><subfield code="c">Eric Carter, Matthew Hurst</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, 248 Seiten)</subfield><subfield code="b">35 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=" " ind2="4"><subfield code="a">Microsoft and .NET.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Software Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Microsoft software</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Microsoft .NET Framework</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Software engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</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">Software Engineering</subfield><subfield code="0">(DE-588)4116521-4</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="689" ind1="0" ind2="0"><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="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">Software Engineering</subfield><subfield code="0">(DE-588)4116521-4</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">Hurst, Matthew</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1194024688</subfield><subfield code="4">aut</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">978-1-4842-5106-5</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">978-1-4842-5108-9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4842-5107-2</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></datafield><datafield tag="912" ind1=" " ind2=" "><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="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-031518365</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-1046</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-Aug4</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=5879995</subfield><subfield code="l">DE-1050</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-573</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-M347</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-92</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-1051</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-898</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-859</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-863</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-862</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-523</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/10.1007/978-1-4842-5107-2</subfield><subfield code="l">DE-20</subfield><subfield code="p">ZDB-2-CWD</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV046138064 |
| illustrated | Illustrated |
| indexdate | 2024-12-20T18:44:05Z |
| institution | BVB |
| isbn | 9781484251072 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031518365 |
| oclc_num | 1137372948 |
| 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, 248 Seiten) 35 Illustrationen |
| 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 |
| spelling | Carter, Eric Verfasser (DE-588)1194024580 aut Agile machine learning effective machine learning inspired by the Agile Manifesto Eric Carter, Matthew Hurst Berkeley, CA Apress [2019] © 2019 1 Online-Ressource (XVII, 248 Seiten) 35 Illustrationen txt rdacontent c rdamedia cr rdacarrier Microsoft and .NET. Software Engineering Big Data Microsoft software Microsoft .NET Framework Software engineering Big data Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Software Engineering (DE-588)4116521-4 gnd rswk-swf Big Data (DE-588)4802620-7 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s Big Data (DE-588)4802620-7 s Software Engineering (DE-588)4116521-4 s DE-604 Hurst, Matthew Verfasser (DE-588)1194024688 aut Erscheint auch als Druck-Ausgabe 978-1-4842-5106-5 Erscheint auch als Druck-Ausgabe 978-1-4842-5108-9 https://doi.org/10.1007/978-1-4842-5107-2 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Carter, Eric Hurst, Matthew Agile machine learning effective machine learning inspired by the Agile Manifesto Microsoft and .NET. Software Engineering Big Data Microsoft software Microsoft .NET Framework Software engineering Big data Maschinelles Lernen (DE-588)4193754-5 gnd Software Engineering (DE-588)4116521-4 gnd Big Data (DE-588)4802620-7 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4116521-4 (DE-588)4802620-7 |
| title | Agile machine learning effective machine learning inspired by the Agile Manifesto |
| title_auth | Agile machine learning effective machine learning inspired by the Agile Manifesto |
| title_exact_search | Agile machine learning effective machine learning inspired by the Agile Manifesto |
| title_full | Agile machine learning effective machine learning inspired by the Agile Manifesto Eric Carter, Matthew Hurst |
| title_fullStr | Agile machine learning effective machine learning inspired by the Agile Manifesto Eric Carter, Matthew Hurst |
| title_full_unstemmed | Agile machine learning effective machine learning inspired by the Agile Manifesto Eric Carter, Matthew Hurst |
| title_short | Agile machine learning |
| title_sort | agile machine learning effective machine learning inspired by the agile manifesto |
| title_sub | effective machine learning inspired by the Agile Manifesto |
| topic | Microsoft and .NET. Software Engineering Big Data Microsoft software Microsoft .NET Framework Software engineering Big data Maschinelles Lernen (DE-588)4193754-5 gnd Software Engineering (DE-588)4116521-4 gnd Big Data (DE-588)4802620-7 gnd |
| topic_facet | Microsoft and .NET. Software Engineering Big Data Microsoft software Microsoft .NET Framework Software engineering Big data Maschinelles Lernen |
| url | https://doi.org/10.1007/978-1-4842-5107-2 |
| work_keys_str_mv | AT cartereric agilemachinelearningeffectivemachinelearninginspiredbytheagilemanifesto AT hurstmatthew agilemachinelearningeffectivemachinelearninginspiredbytheagilemanifesto |