With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and ma
Implementing MLOps in the Enterprise
β Scribed by Yaron Haviv and Noah Gift
- Publisher
- O'Reilly Media, Inc.
- Year
- 2023
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios. Senior data scientists, MLOps engineers, and machine learning engineers will learn how to tackle challenges that prevent many businesses from moving ML models to production.
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