Smarter data science : succeeding with enterprise-grade data and AI projects /

Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. Th...

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Bibliographic Details
Main Authors: Fishman, Neal (Author), Stryker, Cole (Author)
Format: eBook
Language:English
Published: Indianapolis, Indiana : Wiley, [2020]
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Call Number: HD30.2 .F574 2020
 
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HD30.2 .F574 2020 Available