Preface

Abstract

The rapid evolution of data science and machine learning continues to redefine the way organizations, industries, and societies generate knowledge, solve complex problems, and make informed decisions. As artificial intelligence moves beyond experimental research into mission-critical applications, the demand for robust, interpretable, scalable, and trustworthy machine learning systems has never been greater. The current issue of the Eduschool International Journal of Data Science and Machine Learning (EIJDSML) brings together a carefully curated collection of scholarly contributions that examine these emerging directions, offering readers comprehensive insights into the latest theoretical advances and practical methodologies shaping the future of intelligent systems.