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 before. Y...

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Bibliographic Details
Other Authors: Osipov, Carl, author (author)
Format: Nonmusical Recording
Language:Inglés
Published: [Shelter Island, New York] : Manning Publications [2022]
Edition:[First edition]
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835403806719
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 (1 sound file (7 hr., 8 min.))