Cluster, Classify, Associate, Regress: Satisfy Your Inner Data Scientist with OML and Analytics
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Posted by Quest Customer Learning Team
- Last updated 4/08/21
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Presented at INSYNC 21
Session ID: 100410
The modern data scientist has a daunting task: Probing petabytes of data, figuring out which Machine Learning (ML) algorithms to apply to filter the grain from the chaff, and producing meaningful intelligence on which to base digitally-driven strategies for their organization. This session demonstrates how even a fledgling citizen data scientist facing few real-life opportunities to discover unseen patterns and relationships within sample data can quickly leverage the powerful ML capabilities already built into the Oracle Database and available for use at no additional cost.
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