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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?

358

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?

324

Why is resampling done?

317

What is overfitting?

485

Where to seek help in case of discrepancies in tableau?

566

What are the feature vectors?

320

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

327

What is selection bias and why does it matter?

322

What are numpy, scipy, and spark essential datatypes?

400

why is data cleaning important for analysis?

372

Can you compare the validation set with the test set?

336


Un-Answered Questions { Artificial Intelligence }

What assumptions does linear regression machine learning algorithm make?

355


What is an api? What are apis used for?

335


Which is not commonly used programming language for ai?

927


What was the difference between l1 & l2 regularization?

961


What do you understand by linear regression and logistic regression?

387


Explain how would you implement a recommendation system for our company's users?

129


Why are generators used in Python?

394


How can unintended consequences in AI behavior be avoided?

1


Given 2 vectors, how will you generate a sorted vector?

329


What is the Difference between Concept Learning and Classification Learning in Machine Learning?

224


What is natural language understanding (nlu)?

859


How does AI improve case prediction systems?

92


Explain types of artificial intelligence?

978


What is semi-supervised Machine Learning?

121


What are the different interpretations of AI and its impact on society?

80