acrolinx

Author: sdgilley

articles/machine-learning/includes/machine-learning-connect-ws-v2.md

@@ -6,20 +6,20 @@ ms.date: 09/20/2022
 ms.author: sgilley
 ---
 
-Run this code to connect to your Azure ML workspace. 
+Run this code to connect to your Azure Machine Learning workspace. 
 
-Replace your Subscription ID, Resource Group name and Workspace name in the code below. To find these values:
+Replace your Subscription ID, Resource Group name, and Workspace name in the following code. To find these values:
 
 1. Sign in to [Azure Machine Learning studio](https://ml.azure.com).
 1. Open the workspace you wish to use.
-1. In the upper right Azure Machine Learning studio toolbar, select your workspace name.
-1. Copy the value for workspace, resource group and subscription ID into the code.  
-1. If you're using a notebook inside studio, you'll need to copy one value, close the area and paste, then come back for the next one.
+1. Select your workspace name in the upper right Azure Machine Learning studio toolbar.
+1. Copy the value for workspace, resource group, and subscription ID into the code.  
+1. Copy one value, close the area and paste, then come back for the next one when you're pasting to a notebook inside studio.
 
 [!INCLUDE [sdk v2](./machine-learning-sdk-v2.md)]
 
 [!notebook-python[](~/azureml-examples-main/sdk/python/resources/compute/compute.ipynb?name=subscription_id)]
 
 [!notebook-python[](~/azureml-examples-main/sdk/python/resources/compute/compute.ipynb?name=ml_client)]
 
-`ml_client` is a handler to the workspace that you'll use to manage other resources and jobs.
+`ml_client` is a handler to the workspace that you use to manage other resources and jobs.