Increasing Interoperability by Using Distributed Computation, Machine Learning, and the IoT Ecosystem
摘要
Distributed Computation and Machine Learning is a topic, which blends two independent topics from Computer Science. These fields are so much independent that each of them by itself can be a topic for research. It is difficult to overestimate their influence and practical meaning for a wide range of industries in the modern world, to name a few of many—IoT, Business Corporations, Factories, and Pharmaceuticals. In this chapter, I will briefly cover the essential concepts of Distributed Computation, Machine Learning, as well as the field of their interception between Distributed Computation and Machine Learning.