One of the most exciting fields in technology today is machine learning. As this technology matures and gets into the hands of more and more people, exciting new applications are created, such as a tool for detecting respiratory diseases based on the audio analysis of breathing patterns.
By combining edge analytics with machine learning, the capabilities on the sensory side are enormous. This, combined with the ever-increasing power of microcontrollers and single-board computers, such as the Raspberry Pi, means that the future looks very bright indeed for edge analytics and machine learning.
In this chapter, we will explore the advantages of machine learning at the edge with a Raspberry Pi as we write a program to distinguish between the face of a person and the face of a dog. We will then jump into the exciting new world of Artificial Intelligence...
