ISBN:
9781638356509
,
1638356505
Language:
English
Pages:
1 online resource (280 p.)
DDC:
006.3/1
Keywords:
Machine learning Computer programs
;
Apprentissage automatique ; Logiciels
;
Electronic books
;
Electronic books
Abstract:
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.
Note:
Description based upon print version of record. - Includes bibliographical references and index
