Seeq’s machine-learning support to democratize data-science innovation

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Seeq Corporation announced the expansion of its efforts to integrate machine-learning algorithms into Seeq applications, which promises to enable organizations to operationalize their data-science investments, and their open-source and third-party machine learning algorithms for easy access by front-line employees. Seeq’s strategy for enabling machine-learning innovation provides end user access to algorithms from a variety of sources, rather than forcing users to rely on a single machine learning vendor or platform. This addresses the diversity and types of algorithms available to organizations, including: Open-sources algorithms and other public resources. For example, this week Seeq will publish two Seeq Add-ons to GitHub, including algorithms and workflows, for correlation and clustering analytics, which users can modify and improve based on their needs.

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