61. PCA is
62. Which statement is true about prediction problems?
63. . . . . . . . . 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
64. Which of the folllowing is an example of feature extraction?
65. Clustering is . . . . . . . . and is example of . . . . . . . . learning
66. A 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.
67. 8 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?
68. Any linear combination of the components of a multivariate Gaussian is a univariate Gaussian.
69. The apriori property means
70. In which neural net architecture, does weight sharing occur?
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