By enabling easy access it, and interaction with, a wide variety of physical devices and their environments, the Internet of Things (IoT) will foster the development of various applications in various domains, such as health and medical care, intelligent energy management and smart grids, transportation, traffic management, and more. These applications will generate big and real-time/streaming data, which will require big data analysis tools, including advanced machine learning, that is, deep learning (DL), to extract useful information and make informed decisions. We need to understand the end-to-end (E2E) life cycle of the IoT and its different components in order to apply advanced machine learning techniques on the generated data of IoT applications.
In this chapter, we will discuss the E2E life cycle of the IoT and its related concepts...
