Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berkeley, CA
Apress
2014
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| Subjects: | |
| Links: | https://doi.org/10.1007/978-1-4842-0445-0 https://doi.org/10.1007/978-1-4842-0445-0 https://doi.org/10.1007/978-1-4842-0445-0 https://doi.org/10.1007/978-1-4842-0445-0 https://doi.org/10.1007/978-1-4842-0445-0 https://doi.org/10.1007/978-1-4842-0445-0 |
| Physical Description: | 1 Online-Ressource (XVI, 188 p.) Ill. |
| ISBN: | 9781484204450 |
| DOI: | 10.1007/978-1-4842-0445-0 |
Staff View
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| indexdate | 2024-12-20T17:05:47Z |
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| isbn | 9781484204450 |
| language | English |
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| physical | 1 Online-Ressource (XVI, 188 p.) Ill. |
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| spelling | Barga, Roger Verfasser aut Predictive Analytics with Microsoft Azure Machine Learning Build and Deploy Actionable Solutions in Minutes by Roger Barga, Valentine Fontama, Wee Hyong Tok Berkeley, CA Apress 2014 1 Online-Ressource (XVI, 188 p.) Ill. txt rdacontent c rdamedia cr rdacarrier Online-Ausgabe Springer eBook Collection / Professional and Applied Computing Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Windows Azure (DE-588)7693533-4 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Informatik (DE-588)4026894-9 gnd rswk-swf Datenbankverwaltung (DE-588)4389357-0 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 Reproduktion von Barga, Roger Predictive Analytics with Microsoft Azure Machine Learning 2014 Erscheint auch als Druckausgabe 978-1-4842-0446-7 https://doi.org/10.1007/978-1-4842-0445-0 Verlag Volltext 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 Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd Windows Azure (DE-588)7693533-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Informatik (DE-588)4026894-9 gnd Datenbankverwaltung (DE-588)4389357-0 gnd |
| subject_GND | (DE-588)4546354-2 (DE-588)4428654-5 (DE-588)7693533-4 (DE-588)4193754-5 (DE-588)4026894-9 (DE-588)4389357-0 |
| 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 by Roger Barga, Valentine Fontama, Wee Hyong Tok |
| title_fullStr | Predictive Analytics with Microsoft Azure Machine Learning Build and Deploy Actionable Solutions in Minutes by Roger Barga, Valentine Fontama, Wee Hyong Tok |
| title_full_unstemmed | Predictive Analytics with Microsoft Azure Machine Learning Build and Deploy Actionable Solutions in Minutes by 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 | Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd Windows Azure (DE-588)7693533-4 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Informatik (DE-588)4026894-9 gnd Datenbankverwaltung (DE-588)4389357-0 gnd |
| topic_facet | Wissensextraktion Data Mining Windows Azure Maschinelles Lernen Informatik Datenbankverwaltung |
| url | https://doi.org/10.1007/978-1-4842-0445-0 |
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