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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What do you understand by clustering?

268

Differentiate between regression and classification algorithms?

295

Explain the decision tree algorithm?

338

What do you mean by p-value?

282

What is the 80/20 rule?

288

How decision tree algorithm is different from the random forest algorithm?

300

What is the roc curve?

314

What is the aim of a/b testing?

272

Define naive bayes?

278

How is data science different from data analytics?

314

What is the 80/20 rule? Explain its importance in model validation?

281

Explain box cox transformation?

358

Explain the decision tree algorithm, and how is it different from the random forest algorithm?

281

What is the svm algorithm?

361

Explain the importance of 80/20 rule in model validation?

306


Un-Answered Questions { Artificial Intelligence }

What is Bayes theorem in artificial intelligence?

105


Can you define analytics?

312


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

379


List some commercial practical applications of artificial neural networks?

1228


What is matrix element-wise multiplication? Explain with an example.

1


How is a decision tree pruned?

82


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

319


How can AI help lawyers with contract analysis?

61


Define a sql query? What is the difference between select and update query?

326


Name areas of applications of data mining?

37


Tell me how much data will you allocate for your training, validation and test sets?

171


How do you treat multicollinearity and heteroscedasticity in regression?

306


Why naive bayes is called naive?

86


Name search algorithm technology?

974


How are layers counted?

1223