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

Why naïve bayes is called naïve?

105

What are the 3 types of ai?

Explain the objective of machine learning?

109

Explain the machine learning techniques?

110

Explain the types of machine learning?

101

What is regression in machine learning?

176

Explain the difference between machine learning and regression?

What is conditional probability?

Explain the difference between bayes and naive bayes?

146

How bayes theorem is useful in a machine learning context?

What are the classification problems in machine learning?

157

Explain why is naive bayes better than decision tree?

Explain the benefit of naive bayes in machine learning?

101

Why naive bayes is called naive?

Explain the difference between bayesian and frequentist?

106

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Un-Answered Questions { AI Machine Learning }

What cross-validation technique would you use on a time series dataset?

110

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

What is data standardization in ml?

128

Why is logistic regression better than naive bayes?

139

Explain me a hash table?

What is Test set in machine learning?

128

What are your favorite use cases of machine learning models?

133

How difficult is machine learning?

117

What is ROC curve and what does it represent?

108

What is Overfitting? And how do you ensure you’re not overfitting with a model?

105

Explain me what cross-validation technique would you use on a time series dataset?

131

Explain machine learning in to a layperson?

How will you explain a linked list and an array?

Explain the bias-variance tradeoff.

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

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