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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Can you define power analysis?

337

How do you treat missing values during analysis?

329

Can you explain collaborative filtering?

454

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

313

What are the major skills data scientist need?

306

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

422

Can you explain cross-validation?

294

Can you explain data cleansing?

326

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

336

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

349

Can you explain supervised learning?

314

How do you understand by bias variance trade off?

326

Can you explain data munging or data wrangling?

322

What is difference between sas, r and python programming?

379

Can you define feature vector?

312


Un-Answered Questions { Artificial Intelligence }

How can AI help reduce carbon footprints?

81


How does AI enable virtual classrooms and remote learning?

93


What is Sequence modeling ? When we can use this ?

5


What are some limitations of AI-powered diagnosis tools?

75


What Are Olap And Oltp?

92


Describe the classifier in machine learning.

81


What are the challenges of working on cross-functional AI teams?

43


What is a recommendation system?

142


Choose any machine learning algorithm and describe it.

255


What does _init_.py do?

416


How do you measure the success of an AI implementation?

73


Can you describe an example of how generative systems are used in text-to-speech synthesis for improved voice assistants?

89


What are some potential applications of AI in cybersecurity for threat detection?

100


How do you manage context across multiple turns in conversational AI?

53


Who invented machine learning?

113