About the Journal

ISCSITR - International Journal of Machine Learning (ISCSITR-IJML) is a prominent open-access, peer-reviewed journal published by the International Society for Computer Science and Information Technology Research (ISCSITR). It focuses on the fast-growing field of machine learning, covering areas like supervised and unsupervised learning, deep learning, reinforcement learning, and predictive analytics. The journal encourages papers offering theoretical, experimental, and methodological advances, with applications in sectors like healthcare, finance, and autonomous vehicles. By providing global open access, ISCSITR-IJML facilitates the widespread dissemination of cutting-edge machine learning research.

Current Issue

Vol. 5 No. 2 (2024): ISCSITR- INTERNATIONAL JOURNAL OF MACHINE LEARNING (ISCSITR-IJML)

Volume 5, Issue 2, July - December, 2024 (ISCSITR-IJML)

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