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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How do you overcome challenges to your findings?

361

Discuss normal distribution

388

Explain cluster sampling technique in data science

406

What is the importance of having a selection bias?

319

Explain the steps for a data analytics project

450

Treating a categorical variable as a continuous variable would result in a better predictive model?

329

Name three types of biases that can occur during sampling?

329

What is a recall?

379

Explain the method to collect and analyze data to use social media to predict the weather condition?

542

Discuss artificial neural networks

387

Is it possible to capture the correlation between continuous and categorical variable?

328

why do you need to perform resampling?

348

What is a random forest?

307

What is overfitting and underfitting?

1

why do we need data normalization?

1


Un-Answered Questions { Artificial Intelligence }

Explain what is the function of ‘Unsupervised Learning’?

87


What is the definition of the unit test?

344


What are the branches of ai?

921


What do you know about tensorflow abstractions?

1


What is prolog used in artificial intelligence?

882


Choose any machine learning algorithm and describe it.

255


Which database is best for data science?

329


Explain the term binomial probability formula?

323


Explain applications of data mining?

33


How difficult is machine learning?

117


What are the challenges of building and using quantum computers for AI?

77


Name the basic unit of a robot which can be programmed to give instructions to the robot?

1490


What is Bagging and Boosting?

5


Can you explain the concept of feature injection and its role in LLM workflows?

642


Tell us how do classification and regression differ?

77