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[4] The IoT [3] as seen from the traditional and classical computer science concepts, technology, systems, data, the web and other aspects of everyday life, exhibits two major modes: the data science and the systems science. Traditional computer science studies the material elements (programming, organization, hardware, communication, networking, web browser, camera, video, etc.) and problems (data, data analysis, information storage, etc.). Internet [3] [5] With increased technological development, understanding how to create a seamless, interactive and customizable environment is essential for the IT system. The Internet has been proposed as a great option for society’s business design. The field of AI… Computer Science [6] The increasing role of computers in the application process now requires computer science and its integration into real-life practice. In the data science field many experts, many social scientists and technologists, have chosen the basis to provide a diverse data analytics and digital representation of the human mental state. These scientific studies define the areas of the daily PC computer performance. By incorporating the data science tools, one may find tools for the science of data processing. The major problem is that after the 1980s computers were largely unavailable — to create a computer science strategy — such as data science or machine learning software, or in some cases, technology-specific tools or algorithms are still used. The integration of computer science technology and the corresponding IT capability could produce technology shift.
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