In this recipe, we will code an iterative numerical optimization technique called gradient descent (GD) to find the minimum of a quadratic function f(x) = 2x2 - 8x +9.
The focus here shifts from using math to solve for the minima (setting the first derivative to zero) to an iterative numerical method called Gradient Descent (GD) which starts with a guess and then gets closer to the solution in each iteration using a cost/error function as the guideline.
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