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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Explain what is the function of ‘Supervised Learning’?

 58

What is algorithm independent machine learning?

 83

What is the difference between artificial learning and machine learning?

 56

What is the classifier in machine learning?

 52

What are the advantages of Naive Bayes?

 79

In what areas Pattern Recognition is used?

 39

How would you approach the “Netflix Prize” competition?

 45

What are the different methods of Sequential Supervised Learning?

 47

What are the areas in robotics and information processing where the sequential prediction problem arises?

 64

What is batch statistical learning?

 101

What is PAC Learning?

 61

What are the different categories you can categorize the sequence learning process?

 72

What is sequence learning?

 53

What are two techniques of Machine Learning?

 83

What is the bias-variance decomposition of classification error in the ensemble method?

 56

Un-Answered Questions { Artificial Intelligence }

What are classification problems in machine learning?

64

What are the steps involved in kdd process?

35

Name three disadvantages of using a linear model?

106

You can roll a dice three times. You will be given $X where X is the highest roll you get. You can choose to stop rolling at any time (example, if you roll a 6 on the first roll, you can stop). What is your expected pay-out?

128

What is meant by R statistics?

112




Name different level of analysis of data mining?

39

Explain the Algorithm of Probabilistic networks in Machine Learning?

45

Why is python so popular in machine learning?

49

What are the machine learning techniques?

76

Why is naive bayes so naive?

79

What is Inductive Logic Programming in Machine Learning?

54

What is attribute selection measure?

45

How is a decision tree pruned?

51

Name commonly used algorithms.

97

What do you understand by Eigenvectors and Eigenvalues?

62

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