31.
Computers are best at learning

32.
what is Feature scaling done before applying K-Mean algorithm?

33.
Which of the following is true about Naive Bayes?

34.
KDD represents extraction of

35.
Linear Regression is a . . . . . . . . machine learning algorithm.

36.
The probability that a person owns a sports car given that they subscribe to automotive magazine is 40%. We also know that 3% of the adult population subscribes to automotive magazine. The probability of a person owning a sports car given that they don't subscribe to automotive magazine is 30%. Use this information to compute the probability that a person subscribes to automotive magazine given that they own a sports car

37.
Which among the following statements best describes our approach to learning decision trees

38.
Which of the following techniques would perform better for reducing dimensions of a data set?

39.
. . . . . . . . can be adopted when it's necessary to categorize a large amount of data with a few complete examples or when there's the need to impose some constraints to a clustering algorithm.

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