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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What do you understand by cluster sampling?

60

What are the necessary steps involved in machine learning project?

179

How is knn different from k-means?

77

What is the trade-off between bias and variance?

67

Which are the two components of bayesian logic program?

67

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

91

What are the common ways to handle missing data in a dataset?

111

What do you understand by ilp?

83

What are the recommended systems?

125

Describe precision and recall?

154

What according to you, is more important between model accuracy and model performance?

170

Describe dimension reduction in machine learning.

82

Explain true positive, true negative, false positive, and false negative in confusion matrix with an example.

88

Describe 'training set' and 'training test'.

92

What do you understand by the confusion matrix?

96


Un-Answered Questions { Artificial Intelligence }

Define data reduction?

287


To overcome the need to backtrack in constraint satisfaction problem can be eliminated by a) Forward Searching b) Constraint Propagation c) Backtrack after a forward search d) Omitting the constraints and focusing only on goals

2204


Describe how AI can help improve transportation efficiency and safety.

82


What is the future of human-AI interaction?

70


Explain the two components of Bayesian logic program?

92


Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size. a) P complete b) NP complete c) NP hard d) Domain dependent

2321


How can anomaly detection systems improve AI safety?

1


What is batch statistical learning?

152


Hierarchical clustering algorithm is known to be?

35


What are the challenges of designing natural and engaging chatbots?

83


How can the outlier values be treated?

384


how to mine an olap cube?

33


Explain the concept of embeddings and their use in NLP.

79


Can you describe an example of how AI is used in fraud detection and stock prediction in finance?

79


How would you evaluate a logistic regression model?

129