Machine Learning

Machine Learning (ML) is a branch of artificial intelligence that enables computational systems to learn patterns from data and make intelligent decisions with minimal human intervention. By leveraging statistical methods, optimization techniques, and computational intelligence, machine learning systems can automatically improve performance through experience. Research in machine learning spans areas such as supervised learning, unsupervised learning, reinforcement learning, deep learning, predictive analytics, pattern recognition, and intelligent automation. Applications include healthcare diagnostics, cybersecurity, natural language processing, computer vision, recommendation systems, predictive maintenance, and smart decision-making systems. Current research directions focus on privacy-preserving machine learning, federated learning, explainable AI (XAI), trustworthy machine learning, edge intelligence, and scalable intelligent systems for solving real-world interdisciplinary challenges.