About the Journal
The International Journal of Modern Machine Learning (IJMML) is a peer-reviewed scholarly journal dedicated to the publication of original and high-quality research in modern machine learning and artificial intelligence. The journal aims to advance theoretical foundations, methodological innovations, and practical applications of machine learning across academic and industrial domains.
IJMML publishes original research articles, review papers, and applied studies covering areas such as deep learning, data analytics, computer vision, natural language processing, intelligent systems, and interdisciplinary machine learning applications. All submissions undergo a rigorous double-blind peer-review process to ensure academic integrity, ethical standards, and research relevance.
The journal serves as an international platform for researchers, practitioners, and policymakers to disseminate impactful, reproducible, and ethically conducted machine learning research.
