Items related to MLOps Engineering at Scale
Synopsis
Dodge costly and time-consuming infrastructure tasks, and rapidly bring your machine learning models to production with MLOps and pre-built serverless tools!
In MLOps Engineering at Scale you will learn:
Extracting, transforming, and loading datasets
Querying datasets with SQL
Understanding automatic differentiation in PyTorch
Deploying model training pipelines as a service endpoint
Monitoring and managing your pipeline’s life cycle
Measuring performance improvements
MLOps Engineering...
About the Author
Carl Osipov has been working in the information technology industry since 2001, with a focus on projects in big data analytics and machine learning in multi-core, distributed systems, such as service-oriented architecture and cloud computing platforms. While at IBM, Carl helped IBM Software Group to shape its strategy around the use of Docker and other container-based technologies for serverless cloud computing using IBM Cloud and Amazon Web...
"About this title" may belong to another edition of this title.
- PublisherManning
- Publication date2022
- ISBN 10 1617297763
- ISBN 13 9781617297762
- BindingPaperback
- LanguageEnglish
- Number of pages344
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