CLOUD ANALYSIS FOR MACHINE LEARNING METHODS IMPLEMENTATION BASED ON IOT, INFORMATION SYSTEMS, AND WEB TECHNOLOGY
The Internet of Things introduces rapid growth in hardware and software-based communications systems (IoT). IoT has gained a tremendous popularity in recent years and is widely used in several applications. IoT is a modern way of communication between objects and people. IoT ideas are now very influential because they create a new layer in the world of the internet. Intelligent Big Data processing and analysis is the key to intellectual IoT applications growth; logistics, transport, agriculture, health, and climate being such applications. Dynamic changes in the IoT system are caused by increasing usage of the internet and external environmental factors. To have an intellectual environment, IoT with machine learning has to be implemented. In the previous years, machinery has been widely used to recognize, extract, classify, regress, and forecast its technology. Machine learning is used to explore historical camera and sensor data and to implement network life-enhancing techniques. This article provides an insight into current research for several IoT machine learning applications. We summarize IoT strategies and tools. Additionally, we will take a look at various potential problems using summarized data. This review aims to investigate multiple IoT technologies and the impact of integrating Machine Learning into them to assist people in living in an intelligent environment.
Co Machine Learning, Internet of Things, Sensors, Applications of Iot