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A quick visual walkthrough of how gradient descent really works in linear regression. We start from a random point, compute the gradient, scale it with a learning rate, and update the weights step by step. Once you understand each step — gradient, learning rate, and update rule — the reason it converges becomes crystal clear ...
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