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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is market basket analysis?

376

What is the central limit theorem?

370

What is linear optimization? Where is it used?

337

What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.

311

What is cart and chaid? How is bagging different from boosting?

318

How is a normal distribution different from chi square distribution?

347

What is an outlier?

299

What is nosql? Name some examples of nosql databases. What is a key value store? What is column storage? What is a document database?

295

What is cart and chaid?

328

Define a sql query?

342

How would you do market basket analysis in r and python?

366

What are apis used for?

394

Which package is used to do data import in r and python?

334

What is the central limit theorem? How is a normal distribution different from chi square distribution?

350

What is missing value imputation? How do you handle missing values in python or r?

353


Un-Answered Questions { Artificial Intelligence }

What are some potential applications of Quantum AI in cryptography for secure communication?

74


What is conditional probability?

95


What are foundations of data mining?

339


Explain data cleansing?

335


Fuzzy logic is a form of a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic

2281


What is A/B testing in Machine Learning?

221


How do you integrate Generative AI models with existing enterprise systems?

44


Explain the working of roc curve?

1


How does regular auditing of AI systems help reduce bias?

1


What laptop should I buy for data science?

343


What according to you, is the standard approach to supervised learning?

94


How do data scientists code in r?

340


What is the salary for a data scientist?

324


What are the challenges in building generative AI systems?

77


What is the difference between supervised and unsupervised learning?

98