The gradient decent approach is used in many algorithms to minimize loss functions. In this introduction we will see how exactly a gradient descent works. In addition, some special features will be pointed out. We will be guided by a practical example. First of all we need a loss function. A very common approach is where y are the true observations of the target variable and yhat are the pre…
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