Chapter 1: Introduction to the Data-Driven Edge with Machine Learning
The purpose of this book is to share prescriptive patterns for the end-to-end (E2E) development of solutions that run at the edge, the space in the computing topology nearest to where the analog interfaces the digital and vice versa. Specifically, the book focuses on those edge use cases where machine learning (ML) technologies bring the most value and teaches you how to develop these solutions with contemporary tools provided by Amazon Web Services (AWS).
In this chapter, you will learn about the foundations for cyber-physical outcomes and the challenges, personas, and tools common to delivering these outcomes. This chapter briefly introduces the smart home and industrial ...
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