+Gradient Descent is an [Optimization](/wiki/optimization) algorithm that iteratively adjusts parameters to minimize a function. It follows the steepest path downhill, guided by the function's [Gradient](/wiki/gradient), until a local minimum is found.
+## See also
+- [Machine Learning](/wiki/machine_learning)
+- [Neural Networks](/wiki/neural_networks)
+- [Learning Rate](/wiki/learning_rate)
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