Technical requirements

You will need to have access to an Azure subscription. Within that subscription, you will need a resource group named packt-azureml-rg. You will need to have either a Contributor or Owner Access Control (IAM) role on the resource group level. Within that resource group, you should have already deployed a machine learning resource named packt-learning-mlw. These resources should be available to you if you followed the instructions in Chapter 2, Deploying Azure Machine Learning Workspace Resources.

You will also need to have a basic understanding of the Python language. The code snippets in this chapter target Python version 3.6 or later. You should also be familiar with working in the notebook experience within Azure Machine Learning Studio, something that was covered in the previous chapters.

This chapter assumes you have created a compute cluster named cpu-sm-cluster, as described in the Working with compute targets section of Chapter 7, The AzureML Python...