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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What are dropouts?

 536

Distinguish between strong and weak artificial intelligence?

 459

What’s the difference between a generative & discriminative model?

 486

What are the intermediate tensors? Do sessions have lifetime?

 486

What is the agent in artificial intelligence?

 534

What is a bayesian network and how does it relate to ai?

 459

What are the intermediate tensors?

 553

Why do we prefer lstm over rnn?

 500

Give some best books to a.i?

 483

What do you know about artificial intelligence? Give an example where ai is used in our regular lives?

 488

What are the branches of ai1? What is artificial intelligence?

 497

What is the future of artificial intelligence?

 521

Explain the goal of artificial intelligence?

 507

What are the applications of a.i?

 511

How knn was different from k-means clustering?

 482

Un-Answered Questions { Artificial Intelligence }

Tell me how do you choose an algorithm for a classification problem?

475

Explain how do you handle missing or corrupted data in a dataset?

59

Can you define analytics?

93

Define wave cluster?

34

What is the most frequent metric to assess model accuracy for classification problems?

61




Tell us which data visualization libraries do you use? What are your thoughts on the best data visualization tools?

134

What is the trade-off between bias and variance?

43

What Are Olap And Oltp?

30

What are standardization and normalisation? Give one advantage of each over the other?

44

What is Bayes theorem in artificial intelligence?

63

What are your thoughts on the best data visualization tools?

120

How many layers in CNN ? How they mean ?

5

What is meant by compositional semantics?

569

Define analytics?

73

What are the population, sample, training set, design set, validation set, and test set?

637

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