Contribution of Creative Mathematicians in the Development of Machine Learning
Muzafer Saracevic and Dzenis Pepic
Published: December 24, 2021
Abstract
Machine Learning and Deep Learning are two areas in Computer Science that are expanding and are increasingly finding applications in solving the real problems of the industry. They are related to developing the ability to “learn” computers without prior explicit programming, but rather a conceptually inverse process is already taking place, in which the machine uses a huge amount of data and recognizes laws due to which certain processes occur. Machine learning relies on so-called models, which represent a wide range of mathematical functions that originally belong to different mathematical disciplines, such as algebra, mathematical analysis, probability, and statistics, or discrete mathematics. And all this is simplified through various computer software and tools.