Machine Learning is a branch of Artificial Intelligence that enables computers to learn from data and improve their performance without being explicitly programmed. It focuses on building algorithms that can identify patterns, make predictions, and take decisions based on past experience. Machine Learning is widely used in applications like spam detection, recommendation systems, image recognition, speech recognition, and self-driving cars. It works using techniques such as supervised learning, unsupervised learning, and reinforcement learning. By analyzing large amounts of data, machine learning models become more accurate over time, making systems smarter, faster, and more efficient in solving real-world problems.
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