Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Can you define data reduction?

158

Can you define convex hull?

203

Can you explain recommender system?

203

Can you explain data preparation?

187

Can you define a/b testing?

180

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

175

Can you explain interpolation and extrapolation?

183

Can you explain difference between data modeling and database design?

211

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

191

Explain how can you assess a good logistic model?

161

Define cluster sampling?

175

Explain data munging?

191

Explain root cause analysis?

179

How is true positive rate and recall related?

160

Explain the differences between bivariate and multivariate analysis?

185


Un-Answered Questions { Artificial Intelligence }

What is meant by R statistics?

176


Explain difficulties in natural-language understanding?

683


What are cuda cores good for?

1


Explain Classification and Regression?

121


You are given a data set. The data set has missing values which spread along 1 standard deviation from the median. What percentage of data would remain unaffected? Why ?

457


What does the language of fopl consists of?

697


Give examples of machine-to-machine communications?

54


What is Explainable AI (XAI)?

55


Though local search algorithms are not systematic, key advantages would include a) Less memory b) More time c) Finds a solution in large infinite space d) No optimum solution

2043


What is statistical reasoning in artificial intelligence?

82


What are the Softmax and ReLU functions?

5


What is the trade-off between bias and variance?

53


How to resolve a problem with the game playing problem methodology?

62


What are the apis outside tensorflow project?

3


Can you explain data munging or data wrangling?

177