Summary
In this chapter, we embarked on a journey into the realm of data-driven decision-making, showcasing the seamless integration of technologies that can transform real-world challenges. Through hands-on experience, you created an anomaly detection system, highlighting the synergy between ML and IoT for business innovation.
Key topics covered include ML fundamentals, an introduction to Azure Cognitive Services, ML on the edge, common IoT and ML use cases, and a practical lab on building an anomaly detection system. This is one of those chapters that was an introduction to IoT and ML. If this is an area you are interested in, there is a lot more to learn. But hopefully, I have provided you with a good starting point. I do think you will most likely run into use cases where there will be an ML/AI component in an IoT system you develop during your career, and it is good knowledge to have on how to fit them together.
In the next chapter, you will learn how to react to events...
