AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

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?

138

Tell us where do you usually source datasets?

Tell us what's a fourier transform?

110

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

Explain me machine learning in to a layperson?

152

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

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

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

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

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

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

102

Tell me what is the difference between bias and variance?

122

Tell us do you have research experience in machine learning?

149

Explain what are some methods of reducing dimensionality?

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Un-Answered Questions { AI Machine Learning }

What is regularization? Can you give some examples of regularization techniques?

109

What is kernel SVM?

Explain How We Can Capture The Correlation Between Continuous And Categorical Variable?

128

What is sequence learning?

109

What do you understand by reinforcement learning technique?

151

What is dimensionality reduction?

What do you understand by machine learning?

117

Explain what is the function of ‘Unsupervised Learning’?

What are the 3 types of ai?

100

What should I learn before machine learning?

202

What is pca in ml?

115

What is the activation function in Machine Learning?

146

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

225

Differentiate between statistics and ML?

153

What is data pre-processing technique for machine learning?

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