Introducing MLOps : how to scale machine learning in the enterprise Mark Treveil (Author), Léo Dreyfus-Schmidt (Author), Kenji Lefevre (Author), Nicolas Omont (Author)

By:

Treveil, Mark

Material type: Text

TextPublication details: Sebastopol, CA O'Reilly Media, Inc. 2020Description: 1 v. (unpaged) 30 cmISBN:

9781492083290

Subject(s):

Machine learning

DDC classification:

006.31 TRE

Summary: This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time.

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Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	CamTech Library	General Collections	006.31 TRE (Browse shelf(Opens below))	C.1	Available		0000001275

This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time.

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