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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?

155

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

134

Tell us where do you usually source datasets?

77

Tell us what's a fourier transform?

110

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

83

Explain me machine learning in to a layperson?

148

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

94

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

67

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

94

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

77

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

86

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

99

Tell me what is the difference between bias and variance?

114

Tell us do you have research experience in machine learning?

147

Explain what are some methods of reducing dimensionality?

67


Post New AI Machine Learning Questions

Un-Answered Questions { AI Machine Learning }

What is dimension reduction in Machine Learning?

175


How many types are available in machine learning?

187


Differentiate between a parameter and a hyperparameter?

117


What are standardization and normalisation? Give one advantage of each over the other?

70


How does naive bayes classifier work in machine learning?

88


List out some important methods of reducing dimensionality.

70


Tell us what's the f1 score? How would you use it?

75


How do I become an expert in machine learning?

101


You are given a dataset where the number of variables (p) is greater than the number of observations (n) (p>n). Which is the best technique to use and why ?

62


What is symbolic machine learning?

114


What do you know about bayesian networks?

103


What measure how far the predictions are from the actual values in machine learning?

80


What Is The Difference Between Bias And Variance?

136


Tell us where do you usually source datasets?

77


Explain me what's the trade-off between bias and variance?

99