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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Describe important index characteristics?

59

Explain mining single ?dimensional boolean associated rules from transactional databases?

28

Define descriptive model?

40

What is a lookup table?

38

What is hierarchical method?

47

What are the advantages data mining over traditional approaches?

32

What is meteorological data?

36

What is meta learning?

51

Explain how to use dmx-the data mining query language?

21

Define binary variables? And what are the two types of binary variables?

39

What is dimensional modelling? Why is it important?

276

Define rollup and cube?

37

What is smoothing?

49

What are the foundations of data mining?

35

What is the use of regression?

35


Un-Answered Questions { Artificial Intelligence }

Is r better than python for machine learning?

126


What do you know about tensorflow managers?

1


Give an example of a data set that has a non-gaussian distribution?

349


What are the two methods used for the calibration in Supervised Learning?

102


What is the iterative deepening depth-first search algorithm?

1021


For building a bayes model how many terms are required?

1233


Give an introduction to data mining query language?

34


Explain the differences between univariate and bivariate analysis?

330


How decision tree algorithm is different from the random forest algorithm?

341


Explain the two components of Bayesian logic program?

92


Describe precision and recall?

154


How does explainable AI (XAI) improve trust in AI systems?

89


What is the k-means clustering method?

376


How can the costs of LLM inference and deployment be calculated and optimized?

619


What is the use of the function (copy-list ) in lisp?

953