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Gradient Descent
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Learn With Jay
Linear regression using gradient descent explained simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to fit our model to the data set. Gradient Descent finds the minima of cost function, by using the derivative of the cost function w.r.t parameters ...
4 months ago
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AI • Machine Learning • Tech on Instagram: "Gradient descent is an optimization algorithm (also known as an optimizer) used to minimize cost functions by moving step by step in the direction of the steepest descent—the direction of steepest descent is the negative gradient of the function at a certain point. At each iteration, gradient descent computes the gradient of the function at the current point, which represents the direction and rate of the steepest increase. To move toward a minimum, th
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