Al-Hikmah University Journal

The utilization of digital technologies has led to an exponential growth in data generation, making it possible for machines to learn from experience and improve performance over time, leading to the emergence of artificial intelligence (AI) and machine learning (ML) as key technologies driving innovation in various fields. This paper provides a comprehensive review of AI and ML, covering concepts, definitions, types, applications, and relationship between AI and ML. Moreover, this paper extends its coverage to supervised, unsupervised, and reinforcement learning and their applications in areas like language processing, robotics, scheduling, and anomaly detection. Overall, this study contributes to the body of knowledge by providing a detailed review of AI and ML, making it a valuable resource for researchers, practitioners, and students in the field. This study suggests that further study should investigate the ethical implications of AI and ML in various application areas.