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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

How do you overcome challenges to your findings?

410

Discuss normal distribution

451

Explain cluster sampling technique in data science

445

What is the importance of having a selection bias?

366

Explain the steps for a data analytics project

521

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

380

Name three types of biases that can occur during sampling?

376

What is a recall?

437

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

586

Discuss artificial neural networks

425

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

375

why do you need to perform resampling?

407

What is a random forest?

369

What is overfitting and underfitting?

1

why do we need data normalization?

1


Un-Answered Questions { Artificial Intelligence }

How can preprocessing techniques reduce bias in datasets?

1


Explain me what is machine learning?

99


What do I need to study to become a data analyst?

367


Why is zero initialization not a good weight initialization process?

1


How many types of tensors are there?

1


What do you understand by the term, the robotics?

1026


What research methodologies do you favor?

76


Explain the concept of active learning and when it's useful.

106


Why naive bayes is called naive?

90


What is regularization? Can you give some examples of regularization techniques?

111


Explain the differences between univariate, bivariate and multivariate analysis?

360


Is Python enough for machine learning?

114


Explain the difference between data bias and algorithmic bias.

1


How can federated learning be used to train AI models?

105


Why machine learning?

83