Machine Learning Integration

Machine Learning involves training algorithms on data to identify patterns, optimize functions, and predict outcomes. It encompasses supervised, unsupervised, and reinforcement learning approaches. Core models range from linear regression to deep neural networks, utilizing techniques such as gradient descent, feature engineering, and cross-validation. ML enables adaptive systems in real-time analytics, automation, and intelligent decision-making.