Q161
Open questionPCA is
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Computer Science · all questionsMachine Learning
Machine Learning
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Q162
Open questionWhich statement is true about prediction problems?
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Q163
Open question. . . . . . . . is much more difficult because it's necessary to determine a supervised strategy to train a model for each feature and, finally, to predict their value
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Q164
Open questionWhich of the folllowing is an example of feature extraction?
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Q165
Open questionClustering is . . . . . . . . and is example of . . . . . . . . learning
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Q166
Open questionA perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0.
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Q167
Open question8 observations are clustered into 3 clusters using K-Means clustering algorithm. After first iteration clusters, C1, C2, C3 has following observations:
C1: {(2,2), (4,4), (6,6)}
C2: {(0,4), (4,0),(2,5)}
C3: {(5,5), (9,9)}
What will be the cluster centroids if you want to proceed for second iteration?
C1: {(2,2), (4,4), (6,6)}
C2: {(0,4), (4,0),(2,5)}
C3: {(5,5), (9,9)}
What will be the cluster centroids if you want to proceed for second iteration?
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Q168
Open questionAny linear combination of the components of a multivariate Gaussian is a univariate Gaussian.
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Q169
Open questionThe apriori property means
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Q170
Open questionIn which neural net architecture, does weight sharing occur?
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Q171
Open questionWe have been given a dataset with n records in which we have input attribute as x and output attribute as y. Suppose we use a linear regression method to model this data. To test our linear regressor, we split the data in training set and test set randomly. Now we increase the training set size gradually. As the training set size increases, what do you expect will happen with the mean training error?
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Q172
Open questionIf two variables are correlated, is it necessary that they have a linear relationship?
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Q173
Open questionSuppose we fit "Lasso Regression" to a data set, which has 100 features (X1,X2...X100). Now, we rescale one of these feature by multiplying with 10 (say that feature is X1), and then refit Lasso regression with the same regularization parameter. Now, which of the following option will be correct?
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Q174
Open questionWhich of the following is not supervised learning?
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Q175
Open questionSome telecommunication company wants to segment their customers into distinct groups ,this is an example of
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Q176
Open question. . . . . . . . which can accept a NumPy RandomState generator or an integer seed.
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Q177
Open questionThe kernel trick
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Q178
Open questionSuppose on performing reduced error pruning, we collapsed a node and observed an improvement in the prediction accuracy on the validation set. Which among the following statements are possible in light of the performance improvement observed? (a) The collapsed node helped overcome the effect of one or more noise affected data points in the training set (b) The validation set had one or more noise affected data points in the region corresponding to the collapsed node (c) The validation set did not have any data points along at least one of the collapsed branches (d) The validation set did have data points adversely affected by the collapsed node
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Q179
Open questionThe number of iterations in apriori . . . . . . . . Select one:
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Q180
Open questionSkewness of Normal distribution is . . . . . . . .
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