Machine Learning is a subset of artificial intelligence (AI) that allows systems to learn and improve from experience without being explicitly programmed automatically.

It involves the development of algorithms that can process large amounts of data, identify patterns, and make decisions or predictions based on those patterns.

The learning process is often categorized into supervised learning (where the model is trained on a labeled dataset), unsupervised learning (where the model finds patterns in an unlabeled dataset), and reinforcement learning (where the model learns by interacting with its environment and receiving rewards or penalties).

Machine Learning is widely used in various fields, including computer vision, natural language processing, predictive analytics, and personalized recommendations.