Galois groups of polynomials and neurosymbolic networks

This project embarks on a journey to merge the abstract realm of Galois theory with the practical capabilities of machine learning This paper introduces a novel approach to understanding Galois (ML). Our goal is to harness ML's pattern recognition and prediction theory, one of the foundational areas of algebra, through the lens of abilities to address some of the most challenging aspects of Galois machine learning. By analyzing polynomial equations with machine theory, potentially revolutionizing our understanding and approach learning techniques, we aim to streamline the process of determining to polynomial solvability and related problems.