About the Journal

Academic Journal of Machine Learning and Data Engineering is a frontier of research that combines the power of machine learning with the precision of data engineering to solve complex, real-world problems. It highlights breakthrough advancements in algorithms, data infrastructure, and AI-driven analytics, driving the future of intelligent systems. The journal provides a collaborative space for interdisciplinary research, where data engineers and machine learning experts push the boundaries of innovation. Focused on practical applications, it bridges theoretical concepts with transformative solutions across industries. With a rigorous peer-review process, the journal ensures it remains a leader in advancing machine learning and data engineering excellence.