About the Journal

The International Journal of Machine Learning, AI & Data Science Evolution (IJMLAIDSE) is a distinguished open-access, peer-reviewed journal dedicated to advancing research and innovation in the rapidly evolving fields of Machine Learning, Artificial Intelligence, and Data Science.

The journal provides a global platform for researchers, academicians, industry experts, and practitioners to share cutting-edge discoveries, emerging methodologies, and interdisciplinary applications that are shaping the future of intelligent systems and data-driven technologies.

As a regular international publication, IJMLAIDSE aims to bridge the gap between theoretical advancements and real-world implementations, supporting the development of intelligent solutions that address complex global challenges across industries, healthcare, education, finance, engineering, and beyond.

Why Publish with IJMLAIDSE?

Publishing in IJMLAIDSE provides authors with international visibility and ensures their work reaches a broad audience of researchers, technologists, and industry professionals.

The journal emphasizes digital discoverability and academic impact, increasing opportunities for citations and global recognition.

Every manuscript undergoes a thorough peer-review process that helps enhance research quality and maintain scholarly integrity. Through our open-access model, published research is accessible not only to academics but also to startups, enterprises, developers, and policymakers, enabling practical applications and knowledge transfer.