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Build CI/CD Pipelines for ML Projects with Azure Devops | #MVP Connect
Demonstrate and discuss how to automate an end-to-end ML/AI project. Will touch on DevOps tasks for data sanity test, model training on different compute targets, model version management, model evaluation/model selection, model deployment as real-time web service, staged deployment to QA/prod, integration testing and functional testing. What ...
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Aujourd'hui, on parle de MLOps, une philosophie inspirée du DevOps. L'objectif? Faciliter l'intégration des modèles de machine learning et les mettre en production dans un écosystème d'applications d'ingénierie logicielle classique. #MLOps #MachineLearning #DevOps #IA #Innovation | Jordy Bayo
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