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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Can you define power analysis?

338

How do you treat missing values during analysis?

330

Can you explain collaborative filtering?

459

Which one would you prefer for text analytics python or r?

320

What are the major skills data scientist need?

308

In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?

424

Can you explain cross-validation?

295

Can you explain data cleansing?

330

What is the difference between an analyst and a data scientist?

340

What do you understand by type I vs type ii error?

349

Can you explain supervised learning?

316

How do you understand by bias variance trade off?

335

Can you explain data munging or data wrangling?

324

What is difference between sas, r and python programming?

382

Can you define feature vector?

315


Un-Answered Questions { Artificial Intelligence }

Explain Classification and Regression?

173


Explain dependency parsing in nlp?

875


What is naive bayes classifier?

126


What is sentiment analysis, and how is it used in financial markets?

83


Describe a challenging AI project you worked on. What were the key learnings?

88


Is machine learning hard?

199


What do you understand by Linear Regression in R?

606


What is the other name of informed search strategy? a) Simple search b) Heuristic search c) Online search d) None of the mentioned

5227


What is an api?

380


What is the k-means clustering method?

376


What is the main operation in tensorflow?

1


What strategies can alleviate biases in LLM outputs?

615


What do you mean by regression in machine learning?

82


Can you explain the concept of brain-inspired AI architectures and their applications?

85


Define what is Fourier Transform in a single sentence?

106