Machine learning is a subset of artificial intelligence (AI) that focuses on developing algorithms and models that enable computers to learn from and make predictions or decisions based on data. Instead of being explicitly programmed to perform a specific task, a machine learning system uses statistical techniques to recognize patterns, make predictions, or make decisions based on data it has been trained on. It involves various types of algorithms, such as supervised learning, unsupervised learning, and reinforcement learning, to teach computers how to improve their performance over time through experience and data analysis. Machine learning has a wide range of applications, from image and speech recognition to recommendation systems and autonomous vehicles.
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