Chapter 1: Getting Started with TinyML

Here we are, with our first step into the world of TinyML.

This chapter starts with an overview of this emerging field, presenting the opportunities and challenges to bring machine learning (ML) to extremely low-power microcontrollers.

The body of this chapter focuses on the fundamental elements behind ML, power consumption, and microcontrollers that make TinyML unique and different from conventional ML in the cloud, desktops, or even smartphones. In particular, the Programming microcontrollers section will be crucial for those with little experience in embedded programming.

After introducing the TinyML building blocks, we shall set up the development environment for a simple LED application, which will officially mark the beginning of our practical TinyML journey.

In contrast to what we will find in the following chapters, this chapter has a more theoretical structure to get you familiar with the concepts and terminology of this fast...