Edit include file

Author: cdpark

articles/machine-learning/how-to-enable-studio-virtual-network.md

@@ -20,7 +20,7 @@ monikerRange: 'azureml-api-2 || azureml-api-1'
 
 This article explains how to use Azure Machine Learning studio in a virtual network. The studio includes features like AutoML, the designer, and data labeling.
 
-Some of the studio's features are disabled by default in a virtual network. To re-enable these features, you must enable managed identity for storage accounts you intend to use in the studio.
+Some of the studio's features are disabled by default in a virtual network. To re-enable these features, you must enable managed identity for storage accounts that you intend to use in the studio.
 
 The following operations are disabled by default in a virtual network:
 

articles/machine-learning/includes/managed-vnet-note.md

@@ -8,4 +8,4 @@ ms.author: larryfr
 ---
 
 > [!TIP]
-> Microsoft recommends using an Azure Machine Learning **managed virtual networks** instead of the steps in this article. With a managed virtual network, Azure Machine Learning handles the job of network isolation for your workspace and managed computes. You can also add private endpoints for resources needed by the workspace, such as Azure Storage Account. For more information, see [Workspace managed network isolation](../how-to-managed-network.md).
+> Microsoft recommends using Azure Machine Learning **managed virtual networks** instead of the steps in this article. With a managed virtual network, Azure Machine Learning handles the job of network isolation for your workspace and managed computes. You can also add private endpoints for resources needed by the workspace, such as Azure Storage Account. For more information, see [Workspace managed network isolation](../how-to-managed-network.md).