Exploring Gradient Descent in Machine Learning

Gradient descent is a fundamental algorithm in machine learning. It aids models to adjust their parameters by iteratively minimizing the error. This approach involves calculating the gradient of the loss function, which indicates the direction of steepest ascent. By adjusting the parameters in the contrary direction of the gradient, the model conve

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