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Which of the following is an example of a deterministic algorithm?
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PCA
KMeans
None of the above
Let’s say, you are using activation function X in hidden layers of neural network. At a particular neuron for any given input, you get the output as “0.0001”. Which of the following activation function could X represent?
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ReLU
tanh
SIGMOID
None of these
Suppose you want to project high dimensional data into lower dimensions. The two most famous dimensionality reduction algorithms used here are PCA and tSNE. Let’s say you have applied both algorithms respectively on data “X” and you got the datasets “X_projected_PCA” , “X_projected_tSNE”.Which of the following statements is true for “X_projected_PCA” & “X_projected_tSNE” ?
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X_projected_PCA will have interpretation in the nearest neighbour space.
X_projected_tSNE will have interpretation in the nearest neighbour space.
Both will have interpretation in the nearest neighbour space.
None of them will have interpretation in the nearest neighbour space
What would you do in PCA to get the same projection as SVD?
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Transform data to zero mean
Transform data to zero median
Not possible
None of these
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