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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Explain the term "data warehouse".

360

What do you understand by ensemble learning?

351

What do you understand by confusion matrix?

362

What do you understand by the term data science?

354

What do you understand by normal distribution?

495

Do you prefer python or r for text analytics?

326

Why is resampling done?

319

What is overfitting?

485

Where to seek help in case of discrepancies in tableau?

568

What are the feature vectors?

320

What do you understand by the selection bias? What are its various types?

328

What is selection bias and why does it matter?

325

What are numpy, scipy, and spark essential datatypes?

404

why is data cleaning important for analysis?

372

Can you compare the validation set with the test set?

336


Un-Answered Questions { Artificial Intelligence }

How can you assess a good logistic model?

409


What do you mean by deep learning and why has it become popular now?

1


What is the use of the activation function?

1


What is linear optimization?

321


How can someone report a vulnerability in tensorflow?

1


What is natural language understanding (nlu)?

860


What is required technological drivers in data mining?

170


What role does AI play in finance for risk analysis and portfolio management?

83


Which one you prefer R or Python for text analytics?

405


Explain the importance of inclusive design in reducing AI bias.

1


What are the basic aspects of the robotics?

941


How will you drop variables using indices in a data frame?

373


What are the differences between overfitting and underfitting?

427


Tell me what is precision and recall?

127


Give some advantages of artificial intelligence?

989