ML Ops : Operationalizing Data Science /

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Instead, many of these ML models do nothing more than provide static insights in a slideshow. If they aren't truly operational, these models can't possibly do what...

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Bibliographic Details
Main Authors: Sweenor, David (Author), Hillion, Steven (Author), Rope, Dan (Author), Kannabiran, Dev (Author), Hill, Thomas (Author), O'Connell, Michael (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: O'Reilly Media, Inc., 2020.
Edition:1st edition.
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