The International Journal of AI, Machine Learning & Data Science (IJAIMLDS) publishes high-quality, peer-reviewed research dedicated to advancing the theory and application of artificial intelligence, machine learning, and data science. The journal aims to provide a platform for researchers and practitioners to share innovative ideas, novel methodologies, and impactful discoveries.

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Scope of the journal includes:

• Machine learning algorithms and models
• Deep learning and neural networks
• Natural language processing and large language models
• Computer vision and image processing
• Reinforcement learning and autonomous systems
• Data mining, pattern recognition, and predictive analytics
• Big data engineering and data processing
• AI applications in healthcare, finance, and industry
• Responsible and ethical AI
• Optimization and computational intelligence
• Applied data science case studies

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IJAIMLDS welcomes:

• Original research articles
• Review and survey papers
• Technical notes and short communications
• Application-focused studies with real-world impact