BIG DATA TOOLS. SAS VISUAL STATISTICS, SAS HIGH PERFORMANCE ANALYTICS AND SAS IN-MEMORY STATISTICS (ePub)
(Sprache: Englisch)
SAS Visual Statistics is an add-on for SAS Visual Analytics that allows you to develop and test models using the in-memory capabilities of SAS LASR Analytic Server. SAS Analytics Visual Explorer (the explorer) allows you to explore, investigate, and...
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SAS Visual Statistics is an add-on for SAS Visual Analytics that allows you to develop and test models using the in-memory capabilities of SAS LASR Analytic Server. SAS Analytics Visual Explorer (the explorer) allows you to explore, investigate, and visualize big data sources to discover relevant patterns. SAS Visual Estatistics extends these capabilities to create, test, and compare models based on the patterns discovered in the explorer. SAS Visual Estatistics can export the programming code, before or after performing the model comparison, for use with other SAS products and to put the model into production.
SAS High-performance Analytics uses large volumes of data to perform data mining tasks such as pattern discovery, prediction and other typical mining tasks. It allows predictive models to be developed from whole data, not just subsets, so accurate insights can be obtained in minutes or seconds. The use of sophisticated analytics, the ability to work with large numbers of variables, frequent modelling iterations and other advanced features provide competitive advantages.
With SAS In-Memory Statistics for Hadoop, is possible to work with rapid interactive analysis, statistical algorithms and machine learning techniques, random decision forests, descriptive statistics, analytical data preparation and Interactive in-memory programming.
SAS High-performance Analytics uses large volumes of data to perform data mining tasks such as pattern discovery, prediction and other typical mining tasks. It allows predictive models to be developed from whole data, not just subsets, so accurate insights can be obtained in minutes or seconds. The use of sophisticated analytics, the ability to work with large numbers of variables, frequent modelling iterations and other advanced features provide competitive advantages.
With SAS In-Memory Statistics for Hadoop, is possible to work with rapid interactive analysis, statistical algorithms and machine learning techniques, random decision forests, descriptive statistics, analytical data preparation and Interactive in-memory programming.
Bibliographische Angaben
- Autor: César Pérez López
- 2021, Englisch
- Verlag: Lulu.com
- ISBN-10: 1008984027
- ISBN-13: 9781008984028
- Erscheinungsdatum: 22.03.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: ePub
- Größe: 7.20 MB
- Ohne Kopierschutz
Sprache:
Englisch
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