In this chapter, we cover the main concepts relating to Automated Machine Learning (AutoML) with an overview of the types of AutoML methods and its software systems.
If you are a developer working with AutoML, you will be able to put your knowledge to work with this practical guide to develop and use state-of-the-art AI algorithms in your projects. By the end of this chapter, you will have a clear understanding of the anatomy of the Machine Learning (ML) workflow, what AutoML is, and its different types.
Through clear explanations of essential concepts and practical examples, you will see the differences between the standard ML and the AutoML approaches and the pros and cons of each.
In this chapter, we're going to cover the following main topics:
- The anatomy of a standard ML workflow
- What is AutoML?
- Types of AutoML