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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Can you explain how do you handle missing or corrupted data in a dataset?

93

Why machine learning?

81

Why is naive bayes so naive?

93

What is roc?

100

What are the best python libraries used in machine learning?

225

What are the best public data sets for machine learning?

84

What is pruning in decision trees?

107

What is data pre-processing technique for machine learning?

72

What is data structure? And what are the different types of data structures supported in r programming?

109

What is data augmentation in ml?

98

What is feature scaling?

76

What is type I vs type ii error?

340

What sentiment analysis?

77

Can you explain bias-variance trade-off?

120

What is batch normalization?

92


Un-Answered Questions { Artificial Intelligence }

Are Bots and Intelligent Agents personal search engines?

2870


what’s a fourier transform?

105


Who invented artificial intelligence?

958


How does deep learning relate to ai?

1


How are the k-nearest neigh-bors (knn) algorithms different from k-means clustering?

916


What is batch normalization?

92


What are the similarities and differences between bagging and boosting in machine learning?

86


If we added one rider to the current SF market, how would that affect the existing riders and drivers?

349


Does the data scientist need to know programming?

365


What is the difference between machine learning and regression?

128


Can you explain the key technologies and principles behind LLMs?

36


Explain the Algorithm of Nearest Neighbor in Machine Learning?

146


You can roll a dice three times. You will be given $X where X is the highest roll you get. You can choose to stop rolling at any time (example, if you roll a 6 on the first roll, you can stop). What is your expected pay-out?

295


What is meant by uniform cost search algorithm?

861


Explain the use of AI in robotic process automation (RPA).

54