Artificial Intelligence, Machine Learning, and Data Science Technologies by Neeraj Mohan;Ruchi Singla;Priyanka Kaushal;Seifedine Kadry;

Author:Neeraj Mohan;Ruchi Singla;Priyanka Kaushal;Seifedine Kadry;
Language: eng
Format: epub
Publisher: CRC Press (Unlimited)
Published: 2021-01-15T00:00:00+00:00

8.2 Ethos for Higher Education

It is well known that the domain of higher education is not restricted to a precise range, but it shows a wide variety of diversification among subjects, branches, and steams (David, 2018). Broadly, it can be classified into humanities, commerce and business administration, medical and engineering science, as given in Figure 8.1.

Figure 8.1Gantt chart for a software development project.

All four branches of higher education shown in Figure 8.1 are furthermore classified into their respective fields such as humanities and social science into literature, art, music, philosophy, religion, language, geography, political science, economics, and sociology. Commerce and business administration consist of trade, banking, insurance, transportation, marketing, HR, supply chain and total quality management whereas medical sciences (Albrecht, 1992; de Lima, 2006) consists of cardiology, medicine, hematology, endocrinology, dentistry, and gynecology, etc. And in the last engineering subsists diversified streams shown in Figure 8.2.

All these distinct branches and streams of various disciplines integratively contribute towards the development of economic, social, and self-development.

Figure 8.2Streams of engineering.

In spite of this broad diversification, the reasons behind less participation in higher education may be the lack of interest in subjects and branches, and the belief that these branches are restricted to mathematical formulas, calculations, and mugging of theories and their drawbacks. Another important reason may be the long period for accomplishment of the enrolled courses, less respect in society for academicians as well as researchers, and unawareness of some exciting and real-world inspired subjects like artificial intelligence (AI).

AI in the present era is improving and gaining popularity with its new modernization for solving real-world problems in an optimized way. It allows us to replace fixed routine and multiple human tasks with AI coded computer machinery and robotics through continuous knowledge skills, i.e., machine and deep learning. These learning methods are inspired by human creativeness; nature inspires algorithms, robust ecological colonization of unwanted plants, etc. Some of these AI algorithms and techniques are discussed in the next section.

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