Gradient Descent in Machine Learning
Gradient descent is a widely used optimization algorithm in machine learning. It is an iterative method that is used to find the minimum of a function by following the direction of the steepest descent. In machine learning, gradient descent is used to optimize the parameters of a model to minimize the error between the predicted and actual values of the output.
The concept of gradient descent...
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