ML Ops with Azure Machine Learning

High-level Conceptual Overview of ML DevOps Pipeline implementation framework

Introduction

Azure Machine Learning Service (AML) offers end-to-end capabilities to manage the ML lifecycle. MLOps (Machine Learning Operations), framework-agnostic interoperability, integrations with ML tools & platforms, security & trust, and extensibility & performance are the key characteristics.

Azure Machine Learning SDK in Python or PowerShell provides an opportunity to develop the automated ML pipeline powered by the orchestration capabilities of Azure DevOps or GitOps. Thereby, ML engineers and Data Scientists …

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