MLOps Engineering at Scale /

MLOps Engineering at Scale teaches you how to implement efficient machine learning systems using pre-built services from AWS and other cloud vendors. This easy-to-follow book guides you step-by-step as you set up your serverless ML infrastructure, even if you've never used a cloud platform befo...

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Bibliographic Details
Main Author: Osipov, Carl (Author)
Corporate Author: Safari, an O'Reilly Media Company
Format: eBook
Language:English
Published: Manning Publications, 2022.
Edition:1st edition
Subjects:
Online Access:Connect to this electronic resource
Description
Summary:MLOps Engineering at Scale teaches you how to implement efficient machine learning systems using pre-built services from AWS and other cloud vendors. This easy-to-follow book guides you step-by-step as you set up your serverless ML infrastructure, even if you've never used a cloud platform before. You'll also explore tools like PyTorch Lightning, Optuna, and MLFlow that make it easy to build pipelines and scale your deep learning models in production.
Physical Description:1 online resource (344 pages)
Format:Mode of access: World Wide Web.