English | 2022 | ISBN-13: 978-1617297762, ISBN-10: 1617297763 | 344 Pages | EPUB | 5 MB
MLOps Eeering 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.
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