Machine Learning and its Scope in Everyday Life

Machine learning (ML) is a subset of artificial intelligence (AI), which allows computers to learn by analysing data and predict outcomes without specific code. Humans interact with machines daily - think of Alexa, Siri and Google Assistant. However, ML applications today go beyond these AI assistants. This paper presents specific and relatable examples of machine learning in everyday life and its diverse scope in three crucial sectors: education, transportation, and e-commerce. The noble applications of ML in the edu-cation sector like identifying at-risk youth in schools, understanding school demographics and assessing student performance have been discussed. The paper also elaborates on the use of ML by companies in adaptive learning programs. In the transportation industry, ML is used to improve commute times through delay prediction and solving air traffic issues. This paper also highlights the huge impact of ML on e-commerce, namely to target advertising to customers. Several examples of organizations and businesses that use ML make this paper unique and relatable to the reader, thereby fulfilling the purpose of this research. ML has a broad scope of application and its creative use has already made many sectors efficient and user-friendly. It has a bright future in years to come.