Chapter 3: Training Your First AutoML Model

With an Azure account, an Azure Machine Learning workspace, a compute cluster, and a basic understanding of how AutoML works, you're now ready to train your first automated machine learning model. It will be easy and straightforward: AutoML is an equalizer that enables even novices to create advanced models in mere minutes, and you will appreciate its power by the end of this chapter regardless of your background. Practice makes perfect, and this chapter is your first step toward becoming an AutoML practitioner.

You will begin this chapter by loading data from your local machine to your Azure Machine Learning Studio (AML Studio), selecting only the columns you need for training. Then, you will proceed to train an AutoML model using the guided user interface. After training your model, you will learn how to interpret your results directly from the AMLS portal. This includes not only standard metrics such as accuracy, false positive...