Update how-to-deploy-and-where.md

Author: j-martens

articles/machine-learning/service/how-to-deploy-and-where.md

@@ -218,11 +218,12 @@ The following sections demonstrate how to create the deployment configuration, a
 
 ## Deploy to target
 
-### <a id="local"></a> Local
+### <a id="local"></a> Local deployment
+
+To deploy locally, you need to have **Docker installed** on your local machine.
 
 The examples in this section use [deploy_from_image](https://docs.microsoft.com/python/api/azureml-core/azureml.core.webservice(class)?view=azure-ml-py#deploy-from-model-workspace--name--models--image-config--deployment-config-none--deployment-target-none-), which requires you to register the model and image before doing a deployment. For more information on other deployment methods, see [deploy](https://docs.microsoft.com/python/api/azureml-core/azureml.core.webservice(class)?view=azure-ml-py#deploy-workspace--name--model-paths--image-config--deployment-config-none--deployment-target-none-) and [deploy_from_model](https://docs.microsoft.com/python/api/azureml-core/azureml.core.webservice(class)?view=azure-ml-py#deploy-from-model-workspace--name--models--image-config--deployment-config-none--deployment-target-none-).
 
-**To deploy locally, you need to have Docker installed on your local machine.**
 
 + **Using the SDK**