Amazon SageMaker Best Practices : Proven tips and tricks to build successful machine learning solutions on Amazon SageMaker
Enregistré dans:
Auteur principal: | Muppala, Sireesha. (Auteur) |
---|---|
Autres auteurs: | Defauw, Randy. (Auteur), Eigenbrode, Shelbee. |
Support: | E-Book |
Langue: | Anglais |
Publié: |
Birmingham :
Packt Publishing,
2021.
|
Autres localisations: | Voir dans le Sudoc |
Accès en ligne: | Accès à l'E-book |
Documents similaires
-
Getting Started with Amazon SageMaker Studio : Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
par: Hsieh, Michael.
Publié: 2022 -
Accelerate Deep Learning Workloads with Amazon SageMaker : Train, deploy, and scale deep learning models effectively using Amazon SageMaker
par: Dabravolski, Vadim.
Publié: 2022 -
Learn Amazon SageMaker : A guide to building, training, and deploying machine learning models for developers and data scientists
par: Simon, Julien.
Publié: 2021 -
Learn Amazon SageMaker : A guide to building, training, and deploying machine learning models for developers and data scientists
par: Simon, Julien.
Publié: 2020 -
Machine Learning with Amazon SageMaker Cookbook : 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
par: Lat, Joshua Arvin.
Publié: 2021