Understanding how to train a model
Azure ML is designed to help (citizen) data scientists train, manage, and monitor machine learning models. The Azure ML workspace is a platform that contains a variety of features to help you during the machine learning process. Understanding the need for each feature in Azure ML will help you understand the machine learning process.
Understanding the machine learning process
We covered the machine learning process previously in this book in Chapter 1, Introducing AI in Power BI, and Chapter 11, Using Automated Machine Learning with Azure and Power BI. The overview that was provided in those chapters is shown in the following diagram:
Figure 12.1 – Process to train a model
As we will be going through each step while training a model with Azure ML, let's review each phase.
Defining the use case
At the start of any machine learning project, there should be a discussion with all the stakeholders. What...
