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AI Machine Learning Interview Questions
Questions Answers Views Company eMail

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

149

Tell us what's the difference between type I and type ii error?

128

Tell us where do you usually source datasets?

73

Tell us what's a fourier transform?

106

Tell us what's the difference between a generative and discriminative model?

76

Explain me machine learning in to a layperson?

140

Do you know which is more important to you– model accuracy, or model performance?

88

Tell us what do you think of our current data process?

63

Tell us how can we use your machine learning skills to generate revenue?

92

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

75

Explain me what is bayes' theorem? How is it useful in a machine learning context?

80

Tell us which one would you prefer to choose – model accuracy or model performance?

91

Tell me what is the difference between bias and variance?

105

Tell us do you have research experience in machine learning?

141

Explain what are some methods of reducing dimensionality?

63


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is meant by naive bayes classifier?

65


Is naive bayes a supervised or unsupervised method?

81


How do I become an expert in machine learning?

99


What should I learn before machine learning?

186


What is the trade-off between bias and variance?

63


Give a drawback of gradient descent ?

78


Mention the difference between Data Mining and Machine learning?

134


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

68


What is regularization in machine learning?

125


Is machine learning jobs in demand?

58


What is a checkpoint in machine learning?

101


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

107


What are the three stages to build the hypotheses or model in machine learning?

93


What do you mean by Inductive Logic Programming (ILP)?

94


Explain me machine learning in to a layperson?

140