A Literature Study On Machine Learning Fusion With IOT


In the present era of rapidly growing mature technologies and their inter-connection with hardware devices and software applications plays a vital role for the emergence of different sensor devices that are inter-connected through internet in order to establish interaction with the physical objects in the world. The technology with the interconnection of different devices through internet is termed as internet of things (IOT). IOT generates massive amount of data with respect to various characteristics and qualities of data. Machine learning fusion with IOT ensures the pervasive development to extend the intelligence of the IOT devices and applications. The exposure of different smart IOT applications with machine learning helps in observation, systematic analysis, processing and smart usages of the large volume of data in different fields. Many industries are using the machine learning and more specifically, the Machine learning-as -a-Service (MLaaS) to exploit the IOT\'s potential. This present paper consists of machine learning basic introduction, machine learning algorithms, reviews of different researcher\'s study, various sensor devices and the various applications of machine learning algorithms with IOT. And the last section of the paper consists of discussion and conclusion.



Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB Raspberry pi/arduino,other hardware components (please call) • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL