About the Journal

The International Journal of Machine Learning and Data Science for Business Applications (IJMLDSBA) is a peer-reviewed academic journal that publishes research on the convergence of machine learning, data science, artificial intelligence, and business applications. The journal allows scholars, academicians, practitioners, and industry professionals to discuss innovative research, developing methodology, practical applications, and evidence-based insights.

IJMLDSBA develops and applies inventive computational and analytical approaches to meet current difficulties in business, management, economics, finance, marketing, operations, and allied fields. The journal accepts both theoretical and applied research that shows how machine learning and data-driven approaches may help enhance decision-making and organizational performance and create new business opportunities. 

IJMLDSBA realizes that modern business challenges require more expertise from multiple disciplines. Therefore, IJMLDSBA encourages interdisciplinary research that connects the fields of computer science, artificial intelligence, statistics, mathematics, management, economics, finance, marketing, operations, and social sciences.

The journal is especially interested in research that transforms recent advances in machine learning and data science into relevant insights, tools, frameworks, and solutions for companies and society.