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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is meant by Poisson regression?

381

What are essential skills and training needed in data Science?

348

Can you use machine learning for time series analysis?

335

What prior knowledge is required to become data scientist?

316

During analysis, how do you treat missing values?

407

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?

357

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?

397

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

344

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

360

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

338

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 }

Give a drawback of gradient descent ?

84


What is t test?

332


Describe the data analysis process.

402


What is data set in ml?

124


Explain the decision tree classification?

69


Explain what is the function of ‘Unsupervised Learning’?

87


How do you ensure compliance with industry regulations in AI projects?

54


What are annotations used for?

856


Explain data formats in tensorflow?

1


Tell us how do classification and regression differ?

77


Which is the best way to go for game playing problem?

2225


Can you explain the concept of quantum machine learning and its applications?

83


How would you adapt a pre-trained model to a domain-specific task?

43


Why do we need technology intelligence?

1033


What is the 80/20 rule?

340