Q301
Open questionThe effectiveness of an SVM depends upon:
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Computer Science · all questionsMachine Learning
Machine Learning
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Q302
Open questionYou are given sesimic data and you want to predict next earthquake , this is an example of
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Q303
Open questionWhen the C parameter is set to infinite, which of the following holds true?
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Q304
Open questionThe firing rate of a neuron
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Q305
Open questionTo test linear relationship of y(dependent) and x(independent) continuous variables, which of the following plot best suited?
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Q306
Open questionDuring the last few years, many . . . . . . . . algorithms have been applied to deep neural networks to learn the best policy for playing Atari video games and to teach an agent how to associate the right action with an input representing the state.
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Q307
Open questionWhich of the following indicates the fundamental of least squares?
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Q308
Open questionWhat is 'Training set'?
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Q309
Open questionWhich of the following statement is true about k-NN algorithm?
1. k-NN performs much better if all of the data have the same scale
2. k-NN works well with a small number of input variables (p), but struggles when the number of inputs is very large
3. k-NN makes no assumptions about the functional form of the problem being solved
1. k-NN performs much better if all of the data have the same scale
2. k-NN works well with a small number of input variables (p), but struggles when the number of inputs is very large
3. k-NN makes no assumptions about the functional form of the problem being solved
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Q310
Open questionIn Naive Bayes equation which part considers "likelihood"?
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Q311
Open questionIt is not necessary to have a target variable for applying dimensionality reduction algorithms
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Q312
Open questionHierarchical clustering is slower than non-hierarchical clustering?
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Q313
Open questionWhich of the following can help to reduce overfitting in an SVM classifier?
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Q314
Open questionSVM can solve linear and non-linear problems
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Q315
Open questionSuppose you plotted a scatter plot between the residuals and predicted values in linear regression and you found that there is a relationship between them. Which of the following conclusion do you make about this situation?
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Q316
Open questionOverfitting is more likely when you have huge amount of data to train?
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Q317
Open questionGain ratio tends to prefer unbalanced splits in which one partition is much smaller than the other
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Q318
Open questionIn the mathematical Equation of Linear Regression Y = β1 + β2X + ∊, (β1, β2) refers to . . . . . . . .
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Q319
Open questionWhich of the following is not a kernel method in SVM?
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Q320
Open questionIdentify the various approaches for machine learning.
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