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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

Tell us how do deductive and inductive machine learning differ?

138

Tell us how is a decision tree pruned?

123

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

69

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

147

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

153

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

85

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

666

Name some feature extraction techniques used for dimensionality reduction?

78

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

74

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

104

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

121

What is a fourier transform?

98

Why is “naive” bayes naive?

69

How do deductive and inductive machine learning differ?

52

What is your training in machine learning and what types of hands-on experience do you have?

139


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is bucketing in machine learning?

114


What is A/B testing in Machine Learning?

215


Which library would you prefer for plotting in Python language: Seaborn or Matplotlib or Bokeh?

123


What is the use of naive bayes?

94


Which Python library is used for machine learning?

180


Tell us what are some differences between a linked list and an array?

141


What are some methods of reducing dimensionality?

73


How is a decision tree pruned?

79


Explain the difference between bayesian and frequentist?

97


What is svm in machine learning? What are the classification methods that svm can handle?

223


How do you control for biases?

83


Who is associated with the theory of symbolic learning?

73


How does gaussian naive bayes work?

91


What is the difference between bayesian and frequentist?

99


What is dimension reduction in Machine Learning?

169