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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What do you understand by clustering?

307

Differentiate between regression and classification algorithms?

325

Explain the decision tree algorithm?

398

What do you mean by p-value?

320

What is the 80/20 rule?

340

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

340

What is the roc curve?

350

What is the aim of a/b testing?

318

Define naive bayes?

318

How is data science different from data analytics?

344

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

319

Explain box cox transformation?

391

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

314

What is the svm algorithm?

422

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

332


Un-Answered Questions { Artificial Intelligence }

Differentiate between regression and classification algorithms?

325


Explain about from difference between strong ai and weak ai?

911


How can AI reduce fuel consumption in transportation?

88


What is Gradient Descent?

5


How does Edge AI enhance data privacy and security?

89


A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?

564


What are some limitations of AI-powered diagnosis tools?

77


What is overfitting?

485


Explain in brief artificial intelligence?

1001


Can you explain the concept of feature attribution in Explainable AI?

96


Can you differentiate between Artificial Intelligence, Machine Learning, and Deep Learning?

61


What are your thoughts on the future of AI and its potential impact on society?

68


What language does google use for machine learning?

91


What is the decision tree classification?

126


How logical inference can be solved in propositional logic?

1221