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Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure
| Autores principales: | , |
|---|---|
| Lenguaje: | eng |
| Publicado: |
Apress
2020
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2747512 |
| _version_ | 1780968900541808640 |
|---|---|
| author | Alla, Sridhar Adari, Suman |
| author_facet | Alla, Sridhar Adari, Suman |
| author_sort | Alla, Sridhar |
| collection | CERN |
| id | cern-2747512 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2020 |
| publisher | Apress |
| record_format | invenio |
| spelling | cern-27475122021-04-21T16:44:13Zhttp://cds.cern.ch/record/2747512engAlla, SridharAdari, SumanBeginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft AzureXXApressoai:cds.cern.ch:27475122020 |
| spellingShingle | XX Alla, Sridhar Adari, Suman Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure |
| title | Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure |
| title_full | Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure |
| title_fullStr | Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure |
| title_full_unstemmed | Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure |
| title_short | Beginning MLOps with MLFlow: Deploy Models in AWS SageMaker, Google Cloud, and Microsoft Azure |
| title_sort | beginning mlops with mlflow: deploy models in aws sagemaker, google cloud, and microsoft azure |
| topic | XX |
| url | http://cds.cern.ch/record/2747512 |
| work_keys_str_mv | AT allasridhar beginningmlopswithmlflowdeploymodelsinawssagemakergooglecloudandmicrosoftazure AT adarisuman beginningmlopswithmlflowdeploymodelsinawssagemakergooglecloudandmicrosoftazure |