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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

For linear regression, what are some of the assumptions a data scientist is most likely to make?

296

What is supervised learning?

306

Could you draw a comparison between overfitting and underfitting?

405

What makes the difference between “long” and “wide” format data?

320

How and by what methods data visualizations can be effectively used?

339

How regularly must an algorithm be updated?

366

How often should an algorithm be updated?

327

What prior subject is required to become a data analyst?

333

How do you define data science?

324

How have you overcome a barrier to finding a solution?

304

Why is data cleaning essential in data science?

299

What is cross-validation?

297

What is meant by selection bias?

377

List the variants of backpropagation?

380

What are eigenvectors and eigenvalues?

422


Un-Answered Questions { Artificial Intelligence }

What is unique index?

29


What are the two methods used for the calibration in Supervised Learning?

102


How can AI help automate cybersecurity tasks?

99


What is true artificial intelligence?

1007


How can organizations create a culture of collaboration around Generative AI projects?

472


What is the job of analytics?

362


What is the difference between skewed and uniform distribution?

342


How many kinds of nns exist?

1259


What was bayes’ theorem?

1015


Which client languages are supported in tensorflow?

1


Tell us when should you use classification over regression?

78


How do you prioritize ethical concerns when multiple conflicts arise?

1


Do games use cuda cores?

1


How does a classifier work?

79


What is augmented human intelligence?

901