Machine Learning: Trends, Perspectives, and Prospects

Abstract

The challenge of how to create computers that automatically get better through experience is addressed by machine learning. Situated in the nexus of computer science and statistics, as well as the foundation of artificial intelligence and data science, it is one of the rapidly expanding technical topics of today. Current advances in machine learning have been fueled by the creation of novel learning theories and algorithms as well as by the constant proliferation of low-cost computing and internet data. In science, technology, and business, data-intensive machine learning techniques are being adopted, which is resulting in a rise in the use of evidence in decision-making in a variety of fields, including marketing, manufacturing, healthcare, education, financial modeling, and law enforcement.