Predictive Analytics Questions

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YxQ1234

Business Finance

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You are given the following pseudo-code: O True 1. Initialize cluster centroids 1, 2,..., Hk ER" randomly. 2. Repeat until convergence: { For every i, set O False For each j, set is denoted by c(¹). Does it correspond to the k-NN algorithm? } c(i) := arg min ||2(¹) - H₂||². 3 Hj := Σi=11{c(i) = j}x(i) Σ₁1{c(¹) =j} i=1 Rectan where each data observation i is denoted by x(¹), and the class it belongs to> 问题2 Weights in a neural network are in principle not restricted to be within a certain interval. However, very large positive or negative weights can be a problem depending on the type of activation function. What can we do to control the magnitude of the network's weights during training? O Initialize the weights in the interval [-1,1] O Normalize the data O Use regularization 54问题3 The update rule: Xt+1 = xt+aVƒ (xt) corresponds to the update rule of the gradient descent algorithm. O True O False 5问题4 How would you tackle the vanishing gradient problem while training a neural network? 编辑查看插入格式工具表格 12pt v 段落 B I U p A 加 Ev To 88 讴 。 0个字 | 5分问题5 Given a data set where y is a function of x. Could the model y = = 0₁x² + 0₂x +03 be considered linear? O True O False 5
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