Machine Learning

Machine Learning (ML) develops algorithms that learn from data and improve performance without explicit programming. It includes supervised, unsupervised, semi-supervised, and reinforcement learning paradigms. ML powers predictive analytics, recommendation engines, fraud detection, and intelligent automation. Advances in scalable training, model deployment (MLOps), and real-time inference are driving enterprise adoption. Data quality and model generalization remain critical research areas.