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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?

407

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

320

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

343

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?

304

What is cross-validation?

297

What is meant by selection bias?

379

List the variants of backpropagation?

382

What are eigenvectors and eigenvalues?

423


Un-Answered Questions { Artificial Intelligence }

Name the methods for General component analysis and explain them?

393


Which method is used to search better by learning? a) Best-first search b) Depth-first search c) Metalevel state space d) None of the mentioned

3980


What are the branches of ai?

921


What is neural network in artificial intelligence?

926


What is the difference between supervised and unsupervised methods?

379


What is sequential data in machine learning?

136


How do you prevent unauthorized access to deployed Generative AI models?

38


What is non symbolic Interactionism?

93


Can AI systems ever be completely free of bias? Why or why not?

1


Give some best books to a.i?

880


How do autonomous vehicles perceive their environment, and what technologies are involved?

70


What tools do you use for managing Generative AI workflows?

44


What are the differences between data science, machine learning, and artificial intelligence?

334


What happens if the components are not rotated in PCA?

98


Can you use a generator to create iterators?

400