A Review on Classification of Machine Learning

Abstract

The goal of machine learning is to figure out how to make machines that can learn on their own. It's at the crossroads of computer science and statistics, as well as the core of artificial intelligence and data science, and it's one of the most rapidly growing technical fields today. Recent improvements in machine learning have been fuelled by the development of innovative learning algorithms and theory, as well as the continued growth in the availability of online data and low-cost computing. In a range of disciplines, such as health care, manufacturing, education, financial modelling, policy, and marketing, data-intensive machine-learning methodologies are increasingly being applied in research, technology, and commerce, resulting in more evidence-based decision-making