Eduschool International Journal of Data Science and Machine learning (EIJDSML)

About the Journal

The Eduschool International Journal of Data Science and Machine Learning (EIJDSML) is a distinguished scholarly platform dedicated to advancing knowledge, innovation, and research excellence in the fields of data science, machine learning, and artificial intelligence. EIJDSML provides a dynamic environment that promotes the exchange of cutting-edge ideas, novel methodologies, and emerging technologies that shape the future of intelligent data-driven systems.

Serving as a hub for data scientists, researchers, engineers, academicians, and industry practitioners, the journal fosters collaboration and knowledge sharing across disciplines. EIJDSML publishes original research articles, comprehensive reviews, and insightful analyses covering a wide range of topics, including predictive analytics, big data processing, deep learning architectures, data mining, natural language processing, and computational intelligence.

Renowned for its academic rigor and professional relevance, the journal emphasizes innovative research addressing real-world challenges such as scalable data modeling, interpretable machine learning, automated decision-making, data ethics, and the integration of AI in business and societal applications. Through its commitment to high-quality scholarship, EIJDSML aims to bridge the gap between theoretical research and practical implementation in the data science ecosystem.

Adhering to a rigorous double-blind peer review process, EIJDSML ensures the publication of high-standard, original, and impactful studies that contribute significantly to the advancement of data-driven technologies. By fostering interdisciplinary dialogue and promoting the responsible use of data and AI, the journal supports the global pursuit of scientific excellence and technological progress.

More than a publication, EIJDSML stands as a platform for innovation, discovery, and transformative research. It invites scholars, professionals, and innovators worldwide to contribute to its mission of advancing data science and machine learning for a smarter, more connected future.