Вища математика як основа для штучного інтелекту

Abstract

The paper explores the interrelation between fundamental branches of higher mathematics and methods underlying artificial intelligence. In particular, the role of linear algebra, mathematical analysis, and probability theory in constructing modern machine learning models is examined. It is shown that deep understanding of mathematical foundations helps improve optimization and performance of AI algorithms.