A Study on Fundamental Applications of Machine Learning in Contemporary Technologies

Abstract: Machine learning (ML) has transformed industries by enabling data-driven decision-making. This paper explores core ML applications—classification, regression, and clustering—in sectors like healthcare, finance, and retail. It highlights how algorithms, such as decision trees and neural networks, tackle real-world challenges, with experimental results summarized in tables and visualizations showcasing metrics like accuracy and precision. Drawing on recent literature, the study emphasizes ML's accessibility and impact while discussing emerging trends and future directions for adoption.