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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Can you define data reduction?

294

Can you define convex hull?

358

Can you explain recommender system?

335

Can you explain data preparation?

350

Can you define a/b testing?

310

What cross validation technique would you use on time series data set? Is it k-fold or loocv?

307

Can you explain interpolation and extrapolation?

327

Can you explain difference between data modeling and database design?

355

Explain while working on a data set, how do you select important variables?

343

Explain how can you assess a good logistic model?

323

Define cluster sampling?

330

Explain data munging?

382

Explain root cause analysis?

361

How is true positive rate and recall related?

289

Explain the differences between bivariate and multivariate analysis?

350


Un-Answered Questions { Artificial Intelligence }

Is machine learning jobs in demand?

64


What does "accelerating AI functions" mean, and why is it important?

46


What are some potential applications of AI-generated content?

80


Which search algorithm will use a limited amount of memory in an online search?

1217


Count the total number of trees in United States.

335


Explain the difference between a validation set and a test set?

331


Describe a real-world use case of Edge AI.

81


What is a histogram dashboard?

1


List some areas of nlp?

773


Explain cluster sampling technique in data science

406


How does AI optimize route planning and traffic management in transportation?

85


You have two sorted array of integers, write a program to find a number from each array such that the sum of the two numbers is closest to an integer i.

328


Explain the concept of a loss function in machine learning.

82


What is a linear regression in data science?

345


Tell us why is “naive” bayes naive?

72