Chapter 4: Configuring the Workspace
In this chapter, you will work inside the Azure Machine Learning (ML) Studio web interface and learn how to configure the infrastructure needed to run an experiment inside its workspace. Then, you will learn how to provision or attach to existing compute resources and establish the connection between the Azure ML workspace and the various datastores that host your data. With these resources configured, you will be able to register a dataset and explore the capabilities offered in Azure ML to monitor those datasets.
In this chapter, we're going to cover the following main topics:
- Provisioning compute resources
- Connecting to datastores
- Working with datasets
Technical requirements
You will need to have access ...
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