Machine Learning Approaches Applied in Social Areas. Social Science

      Аннотация: Artificial Intelligence (AI) was started in the late 70’s. AI was initially thought of as how intelligence can be injected artificially. In computers, the Central Processing Unit (CPU) actually acted like the brain of a human. Scientists tried to understand the function of the human brain based on the situation. Unfortunately till today it is still difficult to understand. However a major part has been done by scientists. Machine Learning (ML) is a subset of AI. The methods of ML are to make the machine learn from various events and train itself like a human. Finally, classify the requirements specified by the system. Symbolically it resembles the behavior of humans for solving problems. It solves problems as if humans solved the problem. Scientists are doing their research to make the machine behave like a human. The main aim of the book is to solve some of the social science problems by ML. The book is based on the present scenario i.e. the entire globe is facing a serious problem of COVID-19. The content of the book is written in such a way so that people with little knowledge in Ml can understand it easily.

Ключевые слова: prediction, framework, Machine Learning, Voting Classifier, Performance Measure Metrics