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|a 1308952949
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|a 9781638356509
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|a Osipov, Carl.
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|a MLOps Engineering at Scale /
|c Carl Osipov.
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|a New York :
|b Manning Publications Co. LLC,
|c 2022.
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|a 1 online resource (280 pages)
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|a Print version record.
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|a 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.
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|a Includes bibliographical references and index.
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Machine learning
|x Computer programs.
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|a Apprentissage automatique
|x Logiciels.
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|i Print version:
|a Osipov, Carl.
|t MLOps Engineering at Scale.
|d New York : Manning Publications Co. LLC, ©2022
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856 |
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|u https://learning.oreilly.com/library/view/~/9781617297762/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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