Building Models That Operate Internet-of-Things Devices
IN THIS CHAPTER
Grasping IoT vocabulary and technology components
Seeing how data science supports the IoT
Grasping the powerful combination of and IoT
The Internet of things (IoT) is a network of connected devices that use the Internet to communicate amongst each other. That sounds sort of scary, right — like the movie Her, where machine-machine communications allow machines to begin thinking and acting autonomously? But actually, IoT represents the next level of insight, efficiency, and virtual assistance — the stuff we modern humans love and crave.
The rise of IoT has been facilitated by three major factors:
- An increased adoption of machine learning practices
- Increased deployment of sensor technologies
- Improved real-time data processing capabilities
The good news for data scientists is that data science is at the root of each of these three factors, making the IoT an ideal area for data scientists to develop expertise.
Just like data science, IoT itself is not the endgame. What’s most inspiring and impressive about IoT is how it’s deployed within different vertical markets — niche areas of commercial and industrial ...