Table of Contents
Preface
Section 1: Introduction and Prerequisites
Chapter 1: Introduction to the Data-Driven Edge with Machine Learning
Living on the edge
Common concepts for edge solutions
Bringing ML to the edge
Tools to get the job done
Edge runtime
ML
Communicating with the edge
Demand for smart home and industrial IoT
Smart home use cases
Industrial use cases
Setting the scene: A modern smart home solution
Hands-on prerequisites
System 1: The edge device
System 2: Command and control (C2)
Summary
Knowledge check
References
Section 2: Building Blocks
Chapter 2: Foundations of Edge Workloads
Technical requirements
The anatomy of an edge ML solution
Designing code for business logic
Physical interfaces
Network interfaces
IoT Greengrass for ...
Get Intelligent Workloads at the Edge now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
