Predictive analytics with Microsoft Azure Machine Learning: build and deploy actionable solutions in minutes
Gespeichert in:
Beteiligte Personen: | , , |
---|---|
Format: | Buch |
Sprache: | Englisch |
Veröffentlicht: |
[Berkeley, Calif.]
Apress
2014
|
Schlagwörter: | |
Umfang: | XIX, 166 S. Ill., graph. Darst. |
ISBN: | 9781484204467 |
Internformat
MARC
LEADER | 00000nam a2200000 c 4500 | ||
---|---|---|---|
001 | BV042284552 | ||
003 | DE-604 | ||
005 | 20150210 | ||
007 | t| | ||
008 | 150122s2014 xx ad|| |||| 00||| eng d | ||
020 | |a 9781484204467 |c pbk. |9 978-1-4842-0446-7 | ||
035 | |a (OCoLC)915556490 | ||
035 | |a (DE-599)BVBBV042284552 | ||
040 | |a DE-604 |b ger |e aacr | ||
041 | 0 | |a eng | |
049 | |a DE-11 | ||
084 | |a ST 200 |0 (DE-625)143611: |2 rvk | ||
084 | |a ST 304 |0 (DE-625)143653: |2 rvk | ||
100 | 1 | |a Barga, Roger |e Verfasser |4 aut | |
245 | 1 | 0 | |a Predictive analytics with Microsoft Azure Machine Learning |b build and deploy actionable solutions in minutes |c Roger Barga ; Valentine Fontama ; Wee Hyong Tok |
264 | 1 | |a [Berkeley, Calif.] |b Apress |c 2014 | |
300 | |a XIX, 166 S. |b Ill., graph. Darst. | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
650 | 0 | 7 | |a Windows Azure |0 (DE-588)7693533-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Wissensextraktion |0 (DE-588)4546354-2 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Datenbankverwaltung |0 (DE-588)4389357-0 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Informatik |0 (DE-588)4026894-9 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |2 gnd |9 rswk-swf |
689 | 0 | 0 | |a Windows Azure |0 (DE-588)7693533-4 |D s |
689 | 0 | 1 | |a Datenbankverwaltung |0 (DE-588)4389357-0 |D s |
689 | 0 | |5 DE-604 | |
689 | 1 | 0 | |a Informatik |0 (DE-588)4026894-9 |D s |
689 | 1 | 1 | |a Data Mining |0 (DE-588)4428654-5 |D s |
689 | 1 | 2 | |a Maschinelles Lernen |0 (DE-588)4193754-5 |D s |
689 | 1 | 3 | |a Windows Azure |0 (DE-588)7693533-4 |D s |
689 | 1 | 4 | |a Wissensextraktion |0 (DE-588)4546354-2 |D s |
689 | 1 | |8 1\p |5 DE-604 | |
700 | 1 | |a Fontama, Valentine |e Verfasser |4 aut | |
700 | 1 | |a Tok, Wee Hyong |e Verfasser |4 aut | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 978-1-4842-0445-0 |
883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-027721860 |
Datensatz im Suchindex
_version_ | 1818979892634583040 |
---|---|
any_adam_object | |
author | Barga, Roger Fontama, Valentine Tok, Wee Hyong |
author_facet | Barga, Roger Fontama, Valentine Tok, Wee Hyong |
author_role | aut aut aut |
author_sort | Barga, Roger |
author_variant | r b rb v f vf w h t wh wht |
building | Verbundindex |
bvnumber | BV042284552 |
classification_rvk | ST 200 ST 304 |
ctrlnum | (OCoLC)915556490 (DE-599)BVBBV042284552 |
discipline | Informatik |
format | Book |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01995nam a2200505 c 4500</leader><controlfield tag="001">BV042284552</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20150210 </controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">150122s2014 xx ad|| |||| 00||| eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781484204467</subfield><subfield code="c">pbk.</subfield><subfield code="9">978-1-4842-0446-7</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)915556490</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042284552</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-11</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 200</subfield><subfield code="0">(DE-625)143611:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ST 304</subfield><subfield code="0">(DE-625)143653:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Barga, Roger</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Predictive analytics with Microsoft Azure Machine Learning</subfield><subfield code="b">build and deploy actionable solutions in minutes</subfield><subfield code="c">Roger Barga ; Valentine Fontama ; Wee Hyong Tok</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Berkeley, Calif.]</subfield><subfield code="b">Apress</subfield><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XIX, 166 S.</subfield><subfield code="b">Ill., graph. Darst.</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">Windows Azure</subfield><subfield code="0">(DE-588)7693533-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Wissensextraktion</subfield><subfield code="0">(DE-588)4546354-2</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Datenbankverwaltung</subfield><subfield code="0">(DE-588)4389357-0</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Informatik</subfield><subfield code="0">(DE-588)4026894-9</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="689" ind1="0" ind2="0"><subfield code="a">Windows Azure</subfield><subfield code="0">(DE-588)7693533-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Datenbankverwaltung</subfield><subfield code="0">(DE-588)4389357-0</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="689" ind1="1" ind2="0"><subfield code="a">Informatik</subfield><subfield code="0">(DE-588)4026894-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="1"><subfield code="a">Data Mining</subfield><subfield code="0">(DE-588)4428654-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="2"><subfield code="a">Maschinelles Lernen</subfield><subfield code="0">(DE-588)4193754-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="3"><subfield code="a">Windows Azure</subfield><subfield code="0">(DE-588)7693533-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2="4"><subfield code="a">Wissensextraktion</subfield><subfield code="0">(DE-588)4546354-2</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Fontama, Valentine</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tok, Wee Hyong</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="z">978-1-4842-0445-0</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027721860</subfield></datafield></record></collection> |
id | DE-604.BV042284552 |
illustrated | Illustrated |
indexdate | 2024-12-20T17:06:45Z |
institution | BVB |
isbn | 9781484204467 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027721860 |
oclc_num | 915556490 |
open_access_boolean | |
owner | DE-11 |
owner_facet | DE-11 |
physical | XIX, 166 S. Ill., graph. Darst. |
publishDate | 2014 |
publishDateSearch | 2014 |
publishDateSort | 2014 |
publisher | Apress |
record_format | marc |
spelling | Barga, Roger Verfasser aut Predictive analytics with Microsoft Azure Machine Learning build and deploy actionable solutions in minutes Roger Barga ; Valentine Fontama ; Wee Hyong Tok [Berkeley, Calif.] Apress 2014 XIX, 166 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Windows Azure (DE-588)7693533-4 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Datenbankverwaltung (DE-588)4389357-0 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Windows Azure (DE-588)7693533-4 s Datenbankverwaltung (DE-588)4389357-0 s DE-604 Informatik (DE-588)4026894-9 s Data Mining (DE-588)4428654-5 s Maschinelles Lernen (DE-588)4193754-5 s Wissensextraktion (DE-588)4546354-2 s 1\p DE-604 Fontama, Valentine Verfasser aut Tok, Wee Hyong Verfasser aut Erscheint auch als Online-Ausgabe 978-1-4842-0445-0 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Barga, Roger Fontama, Valentine Tok, Wee Hyong Predictive analytics with Microsoft Azure Machine Learning build and deploy actionable solutions in minutes Windows Azure (DE-588)7693533-4 gnd Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Datenbankverwaltung (DE-588)4389357-0 gnd Informatik (DE-588)4026894-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
subject_GND | (DE-588)7693533-4 (DE-588)4428654-5 (DE-588)4546354-2 (DE-588)4389357-0 (DE-588)4026894-9 (DE-588)4193754-5 |
title | Predictive analytics with Microsoft Azure Machine Learning build and deploy actionable solutions in minutes |
title_auth | Predictive analytics with Microsoft Azure Machine Learning build and deploy actionable solutions in minutes |
title_exact_search | Predictive analytics with Microsoft Azure Machine Learning build and deploy actionable solutions in minutes |
title_full | Predictive analytics with Microsoft Azure Machine Learning build and deploy actionable solutions in minutes Roger Barga ; Valentine Fontama ; Wee Hyong Tok |
title_fullStr | Predictive analytics with Microsoft Azure Machine Learning build and deploy actionable solutions in minutes Roger Barga ; Valentine Fontama ; Wee Hyong Tok |
title_full_unstemmed | Predictive analytics with Microsoft Azure Machine Learning build and deploy actionable solutions in minutes Roger Barga ; Valentine Fontama ; Wee Hyong Tok |
title_short | Predictive analytics with Microsoft Azure Machine Learning |
title_sort | predictive analytics with microsoft azure machine learning build and deploy actionable solutions in minutes |
title_sub | build and deploy actionable solutions in minutes |
topic | Windows Azure (DE-588)7693533-4 gnd Data Mining (DE-588)4428654-5 gnd Wissensextraktion (DE-588)4546354-2 gnd Datenbankverwaltung (DE-588)4389357-0 gnd Informatik (DE-588)4026894-9 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
topic_facet | Windows Azure Data Mining Wissensextraktion Datenbankverwaltung Informatik Maschinelles Lernen |
work_keys_str_mv | AT bargaroger predictiveanalyticswithmicrosoftazuremachinelearningbuildanddeployactionablesolutionsinminutes AT fontamavalentine predictiveanalyticswithmicrosoftazuremachinelearningbuildanddeployactionablesolutionsinminutes AT tokweehyong predictiveanalyticswithmicrosoftazuremachinelearningbuildanddeployactionablesolutionsinminutes |