Practical MLOps operationalizing machine learning models
Material type:
TextPublication details: Navi Mumbai O'Reilly 2021Description: ix, 439pISBN: 9789355420374Subject(s): Computer science | Machine learning | Expert system DDC classification: 006.31 Summary: Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
BK
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Kannur University Central Library Stack | Stack | 006.31 GIF/P (Browse shelf (Opens below)) | Available | 68222 |
https://www.oreilly.com/library/view/practical-mlops/9781098103002/
Getting your models into production is the fundamental challenge of machine learning. MLOps offers a set of proven principles aimed at solving this problem in a reliable and automated way. This insightful guide takes you through what MLOps is (and how it differs from DevOps) and shows you how to put it into practice to operationalize your machine learning models.
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