IRJS – Machine Learning is a specialized journal focusing on the theoretical foundations and practical applications of machine learning algorithms and techniques. We publish cutting-edge research that advances the state-of-the-art in ML while addressing real-world challenges.

Our scope encompasses supervised and unsupervised learning, reinforcement learning, neural networks, statistical learning theory, and the application of ML across various domains including healthcare, finance, natural sciences, and social good initiatives.