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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

What is market basket analysis?

332

What is the central limit theorem?

339

What is linear optimization? Where is it used?

301

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.

278

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

282

How is a normal distribution different from chi square distribution?

316

What is an outlier?

265

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

263

What is cart and chaid?

289

Define a sql query?

299

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

326

What are apis used for?

351

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

298

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

310

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

319


Un-Answered Questions { Artificial Intelligence }

Name Data mining techniques?

34


Can you define data reduction?

255


Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

65


What is the relationship between AI and cognitive science?

67


What is keras?

5


How can AI be used to generate art and other creative content?

63


Does rtx 2070 have tensor cores?

1


How does federated learning enhance data privacy?

1


Which laptop is best for data analysis?

321


Explain applications of data mining?

33


How does AI intersect with human bias and societal inequities?

63


How to work towards a random forest?

392


What is model interpretability, and why is it important?

73


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

304


How do AI-powered chatbots improve customer support in banking?

66