Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Explain me what cross-validation technique would you use on a time series dataset?

50

Explain me a hash table?

51

Tell me what is precision and recall?

78

Tell me how would you implement a recommendation system for our company's users?

96

Tell me what are the last machine learning papers you've read?

46

Explain me what is machine learning?

59

Tell us how do you handle missing or corrupted data in a dataset?

60

Tell me how much data will you allocate for your training, validation and test sets?

78

Tell me how a roc curve works?

64

Tell me what is the most frequent metric to assess model accuracy for classification problems?

47

Tell us why is “naive” bayes naive?

56

Do you know what's the “kernel trick” and how is it useful?

52

Tell us when should you use classification over regression?

61

Tell us when will you use classification over regression?

60

Tell us how do you ensure you're not overfitting with a model?

79


Un-Answered Questions { Artificial Intelligence }

Tell us how will you know which machine learning algorithm to choose for your classification problem?

514


What is machine learning basics?

57


What is a tensorflow?

1


What is a z test, chi square test, f test and t test?

118


What is an auto-encoder?

5






How will you test a machine learning model for accuracy?

105


What is the difference between Linkedin and Array

109


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

141


What are the sequence utilities methods?

3


What is conditional probability explain with an example?

74


Explain the importance of lstm.

1


What is Syntax for Task-Relevant Data Specification?

43


What are the unsupervised learning algorithms in deep learning?

1


Why is Python used in data science?

117


What is the degree of freedom in the robotics?

559