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

What is Machine learning?

116

Who invented machine learning?

113

Is machine learning artificial intelligence?

What are the basics of machine learning?

Why is machine learning important?

145

What is candidate sampling in machine learning?

151

Mention the difference between Data Mining and Machine learning?

136

What is A/B testing in Machine Learning?

223

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

128

What is ‘Overfitting’ in Machine learning?

103

Why does overfitting happen?

How can you avoid overfitting?

112

What is the difference between artificial intelligence and machine learning?

129

Is Python necessary for machine learning?

114

What is machine learning artificial intelligence?

110

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Un-Answered Questions { AI Machine Learning }

What is boosting in Machine Learning?

What was bayes’ theorem? How was it useful in a machine learning context?

164

Explain the difference between bayes and naive bayes?

150

What is a seq2seq model?

145

what is the function of ‘supervised learning’?

Can you explain bias-variance trade-off?

126

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

113

Please, State Few Popular Machine Learning Algorithms?

Do you think that treating a categorical variable as a continuous variable would result in a better predictive model?

Tell me what is the difference between bias and variance?

122

What is the difference between bayesian and frequentist?

105

Explain the importance of bayes theorem?

What is the general principle of an ensemble method and what is bagging and boosting in ensemble method?

What is the F1 score?

What is data augmentation? Can you give some examples?

110

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