Machine learning models are computer programs that are used to recognize patterns in data or make predictions. They are created from machine learning algorithms, which are trained using either labeled, unlabeled, or mixed data. Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Machine learning is popular because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Meta, Google and Uber, make machine learning a central part of their operations. Machine learning is also popular because computation is abundant and cheap. Abundant and cheap computation has driven the abundance of data we are collecting and therefore the increase in capability of machine learning methods.