I am studying artificial intelligence and machine learning and need a clear explanation of the main concepts, including supervised learning, unsupervised learning, neural networks, and model training. Please explain each topic in simple terms with examples, real-world applications, and step-by-step reasoning. If possible, include common algorithms, advantages, limitations, and how AI systems learn from data.
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