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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is meant by Poisson regression?

382

What are essential skills and training needed in data Science?

355

Can you use machine learning for time series analysis?

337

What prior knowledge is required to become data scientist?

318

During analysis, how do you treat missing values?

409

Is it possible to perform logistic regression with Microsoft Excel?

384

How can outlier values be treated?

391

What does Machine Learning mean for the Future of Data Science?

358

How can you iterate over a list and also retrieve element indices at the same time?

336

Write a function that takes in two sorted lists and outputs a sorted list that is their union?

403

You created a predictive model of a quantitative outcome variable using multiple regressions. What are the steps you would follow to validate the model?

345

Can you cite some examples where a false negative important than a false positive?

363

Can you explain the difference between a Test Set and a Validation Set?

341

Can you cite some examples where both false positive and false negatives are equally important?

400

How can you assess a good logistic model?

409


Un-Answered Questions { Artificial Intelligence }

What are the risks of using open-source LLMs, and how can they be mitigated?

625


What is a recommender system?

372


What are the types of machine learning?

96


What challenges arise when implementing AI governance frameworks?

1


Which was the first industrial robot?

883


Can AI be used to balance game difficulty dynamically?

70


How does AI assist in drug discovery processes?

79


What are the applications of a Recurrent Neural Network (RNN)?

1305


What are interval scaled variables?

67


What is Rectified Linear Unit (ReLU) in Machine learning?

126


Why is naive bayes used for text classification?

155


What is meant by Poisson regression?

382


What are some environmental applications of AI?

75


Name areas of applications of data mining?

37


Explain the decision tree classification?

69