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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

For linear regression, what are some of the assumptions a data scientist is most likely to make?

296

What is supervised learning?

306

Could you draw a comparison between overfitting and underfitting?

407

What makes the difference between “long” and “wide” format data?

320

How and by what methods data visualizations can be effectively used?

343

How regularly must an algorithm be updated?

366

How often should an algorithm be updated?

327

What prior subject is required to become a data analyst?

333

How do you define data science?

324

How have you overcome a barrier to finding a solution?

304

Why is data cleaning essential in data science?

304

What is cross-validation?

297

What is meant by selection bias?

379

List the variants of backpropagation?

382

What are eigenvectors and eigenvalues?

422


Un-Answered Questions { Artificial Intelligence }

What do you think of our current data process?

70


What is artificial intelligence fuzzy logic?

932


Can you explain cross-validation?

294


What can operate over the joint state space? a) Decision-making algorithm b) Learning algorithm c) Complex algorithm d) Both a & b

2001


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

5225


What is the bias in machine learning?

109


What is ensemble learning?

98


Do you need a teacher to be a scientist?

333


How does AI detect potential cybersecurity threats?

76


What is deep speech?

5


Define linear regression?

326


What is artificial intelligence journal?

1035


List a few limitations of tensorflow.

1


Explain the difference between bias and variance?

91


What are various steps involved in an analytics project?

334