
In the rapidly advancing digital world where data drives decision-making processes, data science and machine learning have emerged as fundamental tools for extracting meaningful insights and making accurate predictions from vast datasets. The foundation of these disciplines, however, is deeply rooted in mathematics, which plays a crucial role in enabling practitioners to create, analyze, and refine models. This detailed analysis