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 }

How is bayes' theorem useful in a machine learning context?

How will you explain machine learning into a layperson?

What is batch size machine learning?

147

Explain the decision tree classification?

Is octave good for machine learning?

Can you explain what is the difference between inductive machine learning and deductive machine learning?

146

What is the difference between Entropy and Information Gain?

134

How do I become a machine learning scientist?

107

Comparision between Machine Learning and Big Data?

123

Which is better for image classification? Supervised or unsupervised classification? Justify.

124

What is the difference between an array and Linked list in Machine learning?

121

Tell me how a roc curve works?

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

105

What is sequence model?

117

Is naïve bayes a supervised or unsupervised method?

112

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