Throughout the book, we will not only introduce machine learning methods from a theoretical perspective; we will also implement them on embedded systems.Embedded system Therefore, the reader should become familiar with the hardware to be used. This chapter aims to introduce these concepts. To do so, we will assume a novice user as our target. Besides, we will cover all hardware topics as abstract as possible. Hence, they can give insight on similar platforms. As for embedded hardware, we pick the 32F746GDISCOVERY kit (STM32 board)STM32 board with the STM32F746NG microcontrollerMicrocontroller (STM32 microcontroller)STM32 microcontroller on it. This board and the microcontrollerMicrocontroller on it are developed by STMicroelectronics. They have desirable properties for our purposes. We will explain details of the board and its processing unit (as microcontroller) in this chapter. Afterward, we will introduce the sensors to be used throughout the book. As all the hardware is introduced, we will be ready to use them in practical machine learning applications in solving real-life problems.