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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Do you know what is kernel svm?

85

Tell us how do deductive and inductive machine learning differ?

146

Tell us how is a decision tree pruned?

131

Tell us which do you think is more important: model accuracy or model performance?

73

What is the f1 score? How would you use it?

154

What is the difference between type I and type ii error?

161

What's the “kernel trick” and how is it useful?

89

How do you think google is training data for self-driving cars?

698

Name some feature extraction techniques used for dimensionality reduction?

84

What are some differences between a linked list and an array?

78

How can we use your machine learning skills to generate revenue?

111

How do you ensure you're not overfitting with a model?

125

What is a fourier transform?

100

Why is “naive” bayes naive?

81

How do deductive and inductive machine learning differ?

61


Un-Answered Questions { Artificial Intelligence }

What is CNN and What are applications of convolution neural network ?

5


Which of the data augmentation technique would you prefer for an object recognition problem?

1552


What is an example of a data set with a non-gaussian distribution?

331


What is data scientist?

355


What is the baseline for machine learning?

101


How can AI be applied in healthcare for medical diagnosis?

74


What has ai accomplished?

961


What do you mean by dropout?

1


Can you explain root cause analysis?

309


What are the cons of tensorflow?

3


What do you mean by survival analysis in R?

414


When does regularization become necessary in machine learning?

208


How can you select k for k-means?

322


Differentiate between regression and classification algorithms?

325


Briefly describe 5 ways to do a "table lookup" in SAS.

2330