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Machine Learning allows computers to learn patterns from data rather than relying on fixed rules or models. Deep learning neural networks achieve this by breaking knowledge into simple neurons and steps, layer by layer. According to the Universal Approximation Theorem, a neural network can approximate almost any function—meaning nearly any ...
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