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The goal of gradient descent is to find the minimum of our model’s loss function by iteratively getting a better and better approximation of it.
…e computer to do the work for you. By identifying patterns in the data, the machine is able to form heuristics. The primary difference between this and human learning is that machine learning runs on computer h…