Machine Learning Definition, History and Applications: A Review

Machine learning is a subfield of artificial intelligence (AI). The goal of machine learning is to understand the structure of data and fit that data into models that can be understood and utilized by people. In other words it focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy. Any technology user today has benefitted from machine learning and its algorithms which are used in a wide variety of applications, including in Ecommerce, Intelligent decision-making Finance, Traffic prediction and transportation, Healthcare, etc. In this article, we’ll look into the definition of machine learning, and explore a brief history of ML from Walter Pitts and Warren McCulloch's work to natural language processing algorithm GPT-۳. We intended to explore for ML applications in different fields.

Keywords:

Machine Learning , Artificial Intelligent , ML Applications , ML Methods , ML history.