IOT and Machine Learning

31/05/2019 Other Services

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Machine learning is a field of computer Science that gives computer system the ability to learn with data, without being explicitly programmed. Machine Learning can be supervised and Reinforcement Learning.
IOT (The Internet of Things):-
The Internet of Things (IOT) refers to the connection of Objects over the Internet. This connection is established through IOT sensors with some local processing to enable smart capabilities. This means that the Internet has already transformed from being a network where humans share data and connect, to Things doing the same, with, or without the need for human intervention and monitoring.
Basically involves inter-connecting various things (devices) over internet, so that there can be Machine to machine interaction and also we can access them from anywhere and easily.
This technology will decrease time we spend in traffic, help us get better sleep, and ultimately help save lives, all without any manual effort. We are building a smarter, safer world.
Another advantage of applying machine learning to IOT data is in the ability to automatically improve its algorithms. As more data are being available now, a smart system returns even more accurate predictions due to its smart thinking. In this way, businesses can conclude to a perfect decision without actual “thinking.” Or human interaction. The artificial system has answers to every aspect, starting from the machine safety or power reduction to the increased supply of personalized goods and services

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