Where can you explicitly see the outcomes of Machine Learning? Take for instance Google and Amazon. That’s where you look at Machine Learning on a smaller scale to enhance your web surfing into a personalised one. It’s, however, a developing field and industries are working on it on a massive scale to create such AI programs which can quickly change your daily lifestyle. The technology of Internet of Things (IoT) and Cloud Computing and its likes, all submerge into the growing implementation of Machine Learning to enhance objects and gadgets into being “Smart” for themselves. The potential massiveness of such a concept is endless from the current standpoint.
Managing data can be crucial in interdisciplinary fields like education and thus, Machine Learning comes in very handy in such areas. The current pedagogy of classrooms is an evolving one where the teacher is necessarily required who is thoroughly learnt in the subject.
Smart classrooms have been developed into expanding the database of resources. But real enhancement in the school of fifty individuals can come only by following a method where every child benefits and is given resources according to their needs. That’s where you need to learn digital systems which can record every individual’s performance and provide an accurately customized report of their specific needs.
Having talked about classrooms, one may analyze other such institutions where a large number of data needs to be managed. Take a law court for instance which sees multiple cases each day of varying degree of importance.
