Update how-to-use-mlflow-configure-tracking.md

Author: santiagxf

articles/machine-learning/how-to-use-mlflow-configure-tracking.md

@@ -26,14 +26,14 @@ However, if you are working outside of Azure Machine Learning (like your local m
 
 ## Prerequisites
 
-You will need the following prerequisites to follow this tutorial:
+You need the following prerequisites to follow this tutorial:
 
 [!INCLUDE [mlflow-prereqs](../../includes/machine-learning-mlflow-prereqs.md)]
 
 
 ## Configure MLflow tracking URI
 
-To connect MLflow to an Azure Machine Learning workspace you will need the tracking URI for the workspace. Each workspace has its own tracking URI and it has the protocol `azureml://`.
+To connect MLflow to an Azure Machine Learning workspace, you need the tracking URI for the workspace. Each workspace has its own tracking URI and it has the protocol `azureml://`.
 
 [!INCLUDE [mlflow-configure-tracking](../../includes/machine-learning-mlflow-configure-tracking.md)]
 
@@ -43,11 +43,11 @@ Once the tracking is set, you'll also need to configure how the authentication n
 
 The Azure Machine Learning plugin for MLflow supports several authentication mechanisms through the package `azure-identity`, which is installed as a dependency for the plugin `azureml-mlflow`. The following authentication methods are tried one by one until one of them succeeds:
 
-1. __Environment__: it will read account information specified via environment variables and use it to authenticate.
-1. __Managed Identity__: If the application is deployed to an Azure host with Managed Identity enabled, it will authenticate with it.  
-1. __Azure CLI__: if a user has signed in via the Azure CLI `az login` command, it will authenticate as that user.
-1. __Azure PowerShell__: if a user has signed in via Azure PowerShell's `Connect-AzAccount` command, it will authenticate as that user.
-1. __Interactive browser__: it will interactively authenticate a user via the default browser.
+1. __Environment__: it reads account information specified via environment variables and use it to authenticate.
+1. __Managed Identity__: If the application is deployed to an Azure host with Managed Identity enabled, it authenticates with it.  
+1. __Azure CLI__: if a user has signed in via the Azure CLI `az login` command, it authenticates as that user.
+1. __Azure PowerShell__: if a user has signed in via Azure PowerShell's `Connect-AzAccount` command, it authenticates as that user.
+1. __Interactive browser__: it interactively authenticates a user via the default browser.
 
 [!INCLUDE [mlflow-configure-auth](../../includes/machine-learning-mlflow-configure-auth.md)]
 
@@ -117,7 +117,7 @@ You can identify the cloud you are using with the following Azure CLI command:
 az cloud list
 ```
 
-The current cloud used is has the value `IsActive` set to `True`.
+The current cloud has the value `IsActive` set to `True`.
 
 ## Next steps