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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?

320

What is overfitting?

486

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?

330

What is selection bias and why does it matter?

325

What are numpy, scipy, and spark essential datatypes?

407

why is data cleaning important for analysis?

372

Can you compare the validation set with the test set?

338


Un-Answered Questions { Artificial Intelligence }

Explain Syntax for Interestingness Measures Specification?

30


List few differences between ai, machine learning, and nlp?

924


Explain the 3 types of ai?

126


What is hallucination in LLMs, and how can it be controlled?

52


What is software cycle? Give a diagrammatic representation?

906


Explain recommender systems?

356


How would you explain Machine Learning to a school-going kid?

87


How can you reduce bias in a given data set?

360


Which language is used for artificial intelligence?

975


How do autoencoders work, and what are their applications?

87


What is underfitting?

323


What is the central limit theorem and why is it important?

323


What is the role of AI in risk analysis?

88


What are the differences between L1 and L2 regularization?

103


How can unintended consequences in AI behavior be avoided?

1