Deploying an Azure Machine Learning workspace
Before we can start delving deep into ML on Azure itself, we need to understand how to deploy an Azure Machine Learning workspace or Azure services in general, what tooling is supported, and which one of those we will use to work with throughout the book.
As a first step, we will require an Azure subscription.
If you are working in an organization and want to use your work account, you can go to portal.azure.com and log in with your work account. If the login works, you will land on the portal itself, and your work account is shown at the top right. This means that your company already has an Azure Active Directory (AAD) instance set up. In this case, talk to your Azure Global Administrator, if you haven't already, to discuss which Azure subscription to use for your purpose.
If you are new to Azure and want to use your private account, go to azure.com and click on Free Account to create an AAD for yourself with a free trial...