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Machine learning is a crucial aspect of AI that enables computers to learn from data and improve their performance without being explicitly programmed. It involves the development of algorithms and models that can automatically learn patterns and make predictions or decisions. Supervised learning, unsupervised learning, and reinforcement learning are three major branches of machine learning. Supervised learning involves training models with labeled data, allowing them to make accurate predictions. Unsupervised learning focuses on finding hidden patterns and structures in unlabeled data. Reinforcement learning involves training agents to interact with an environment and learn from rewards or penalties, leading to autonomous decision-making.

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