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質問 1：
You are using one approach for the classification where to teach the agent not by giving explicit categorizations, but by using some sort of reward system to indicate success, where agents might be rewarded for doing certain actions and punished for doing others. Which kind of this learning
A. Unsupervised
B. Regression
C. Supervised
D. None of the above
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 2：
In which of the following scenario you should apply the Bay's Theorem
A. In all above cases
B. The sample space is partitioned into a set of mutually exclusive events {A1, A2, . .., An }.
C. Within the sample space, there exists an event B, for which P(B) > 0.
D. The analytical goal is to compute a conditional probability of the form: P(Ak | B ).
正解：A
質問 3：
Which of the following could be features?
A. Characteristics of an unidentified object
B. 0nly 1 and 2
C. Words in the document
D. Symptoms of a diseases
E. All 1,2 and 3 are possible
正解：E
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
Select the correct statement which applies to Principal component analysis (PCA)
A. Is a mathematical procedure that transforms a number of (possibly) correlated variables into a (smaller) number of uncorrelated variables.
B. 1 and 2 are correct
C. Increase the dimensionality of the data set.
D. 1 and 3 are correct
E. Is a mathematical procedure that transforms a number of (possibly) correlated variables into a (higher) number of uncorrelated variables
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 5：
You are working with the Clustering solution of the customer datasets. There are almost 40 variables are available for each customer and almost 1.00,0000 customer's data is available. You want to reduce the number of variables for clustering, what would you do?
A. You can combine several variables in one variable
B. You will find the correlation among the variables and from their variables are not co-related will be discarded.
C. You will find the correlation among the variables and from the highly co-related variables, you will be considering only one or two variables from it.
D. You cannot discard any variable for creating clusters.
E. You will randomly reduce the number of variables
正解：A,C
解説: (Pass4Test メンバーにのみ表示されます)
You are using one approach for the classification where to teach the agent not by giving explicit categorizations, but by using some sort of reward system to indicate success, where agents might be rewarded for doing certain actions and punished for doing others. Which kind of this learning
A. Unsupervised
B. Regression
C. Supervised
D. None of the above
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 2：
In which of the following scenario you should apply the Bay's Theorem
A. In all above cases
B. The sample space is partitioned into a set of mutually exclusive events {A1, A2, . .., An }.
C. Within the sample space, there exists an event B, for which P(B) > 0.
D. The analytical goal is to compute a conditional probability of the form: P(Ak | B ).
正解：A
質問 3：
Which of the following could be features?
A. Characteristics of an unidentified object
B. 0nly 1 and 2
C. Words in the document
D. Symptoms of a diseases
E. All 1,2 and 3 are possible
正解：E
解説: (Pass4Test メンバーにのみ表示されます)
質問 4：
Select the correct statement which applies to Principal component analysis (PCA)
A. Is a mathematical procedure that transforms a number of (possibly) correlated variables into a (smaller) number of uncorrelated variables.
B. 1 and 2 are correct
C. Increase the dimensionality of the data set.
D. 1 and 3 are correct
E. Is a mathematical procedure that transforms a number of (possibly) correlated variables into a (higher) number of uncorrelated variables
正解：A
解説: (Pass4Test メンバーにのみ表示されます)
質問 5：
You are working with the Clustering solution of the customer datasets. There are almost 40 variables are available for each customer and almost 1.00,0000 customer's data is available. You want to reduce the number of variables for clustering, what would you do?
A. You can combine several variables in one variable
B. You will find the correlation among the variables and from their variables are not co-related will be discarded.
C. You will find the correlation among the variables and from the highly co-related variables, you will be considering only one or two variables from it.
D. You cannot discard any variable for creating clusters.
E. You will randomly reduce the number of variables
正解：A,C
解説: (Pass4Test メンバーにのみ表示されます)
若狭** -
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