About the Journal

The Global Journal of Machine Learning and Computing (GJMLC) is a prestigious international peer-reviewed journal published by the Global Alliance for Scientific Studies. GJMLC is dedicated to advancing the frontiers of machine learning and computing. It provides a comprehensive platform for researchers, academicians, and professionals to publish innovative research, share knowledge, and explore emerging trends in these cutting-edge fields.

Key Areas of Focus
GJMLC highlights interdisciplinary research and addresses a wide range of topics, including but not limited to:

• Novel algorithms and methodologies in machine learning and artificial intelligence.
• Advances in supervised, unsupervised, and reinforcement learning.
• Deep learning architectures and optimization techniques.
• Computational intelligence and hybrid systems.
• Real-world applications in industries such as healthcare, finance, robotics, and autonomous systems.
• Data science, big data analytics, and feature engineering.
• Computing paradigms, including cloud, edge, and quantum computing.

Features and Objectives

• Innovative Research: Publishes original research papers, critical reviews, and case studies that push the boundaries of knowledge.
• Global Collaboration: Promotes contributions from researchers worldwide to foster international collaboration.
• Practical Applications: Bridges the gap between theoretical research and practical implementations in various sectors.
• Open Access: Ensures unrestricted access to high-quality research, enabling wide dissemination of knowledge.

The journal is committed to fostering advancements in machine learning and computing, addressing challenges, and unlocking new opportunities in these transformative domains while promoting ethical and responsible technological development.