Mastering Azure Machine Learning - Second Edition

Chapter 3: Preparing the Azure Machine Learning Workspace

In the previous chapter, we learned how to navigate different Azure services for implementing ML solutions in the cloud. We realized that the best service for training custom ML models programmatically and automating infrastructure and deployments is the Azure Machine Learning service. In this chapter, we will set up and explore the Azure Machine Learning workspace, create a cloud training cluster, and perform data experimentation locally and on cloud compute, while collecting all the artifacts of the ML runs in Azure Machine Learning.

In the first section, we will learn how to manage Azure resources using different tools such as the Azure Command-Line Interface (CLI), the Azure SDKs, ...