Update concept-azure-machine-learning-architecture.md

j-martens · web-flow · commit a749532671bd · 2019-08-09T11:04:03.000-05:00
diff --git a/articles/machine-learning/service/concept-azure-machine-learning-architecture.md b/articles/machine-learning/service/concept-azure-machine-learning-architecture.md
@@ -46,7 +46,10 @@ Use these tools for Azure Machine Learning:
 + Write code in Visual Studio Code with [Azure Machine Learning VS Code extension](how-to-vscode-tools.md)
 + Use the [visual interface (preview) for Azure Machine Learning service](ui-concept-visual-interface.md)  to perform the workflow steps without writing code.
 
-## Glossary of concepts
+> [!NOTE]
+> Although this article defines terms and concepts used by Azure Machine Learning service, it does not define terms and concepts for the Azure platform. For more information about Azure platform terminology, see the [Microsoft Azure glossary](https://docs.microsoft.com/azure/azure-glossary-cloud-terminology).
+
+## Glossary
 
 + <a href="#workspaces">Workspace</a>
 + <a href="#experiments">Experiments</a>
@@ -66,10 +69,6 @@ Use these tools for Azure Machine Learning:
 + <a href="#ml-pipelines">ML pipelines</a>
 + <a href="#logging">Logging</a>
 
-> [!NOTE]
-> Although this article defines terms and concepts used by Azure Machine Learning service, it does not define terms and concepts for the Azure platform. For more information about Azure platform terminology, see the [Microsoft Azure glossary](https://docs.microsoft.com/azure/azure-glossary-cloud-terminology).
-
-
 ### Workspaces
 
 [The workspace](concept-workspace.md) is the top-level resource for Azure Machine Learning service. It provides a centralized place to work with all the artifacts you create when you use Azure Machine Learning service.
