Machine learning platforms, technology, and tools:

The course discusses the computational cyberinfrastructure that is necessary for enabling machine learning with big data. It explores big data lakes and data warehouses, discussing these two alternative enterprise repositories, and their relative strengths and drawbacks. Computational systems that f...

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Bibliographische Detailangaben
1. Verfasser: Scott, Grant (VerfasserIn)
Format: Elektronisch Video
Sprache:English
Veröffentlicht: Piscataway, N.J. IEEE Communications Society 2021
Schlagworte:
Online-Zugang:TUM01
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Zusammenfassung:The course discusses the computational cyberinfrastructure that is necessary for enabling machine learning with big data. It explores big data lakes and data warehouses, discussing these two alternative enterprise repositories, and their relative strengths and drawbacks. Computational systems that facilitate machine learning in the enterprise are reviewed, as well as the concepts and techniques necessary for deploying scalable machine learning into business processes
Beschreibung:"Machine learning : predictive analysis for business decisions
Beschreibung:1 Online-Ressource (1 Video-Datei, 31 Minuten)
ISBN:9781728177489
1728177480

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