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Machine Learning (ML) is a subset of artificial intelligence (AI) that enables systems to learn patterns from data and make decisions or predictions without explicit programming. ML algorithms use statistical techniques to identify correlations and trends, continuously improving performance as they process more data. Common types of ML include:

Supervised Learning: Models are trained on labeled datasets, learning to map inputs to outputs (e.g., image classification, fraud detection).

Unsupervised Learning: Models identify hidden patterns in unlabeled data (e.g., clustering, anomaly detection).

Reinforcement Learning: Agents learn optimal actions through trial and error in an environment (e.g., robotics, game playing).

ML powers applications such as natural language processing, recommendation systems, predictive maintenance, and autonomous systems, making it a critical tool in modern technology and research.


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