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 the purpose of a classifier?

What are classification problems in machine learning?

Is bayesian statistics useful?

169

What are the most common types of machine learning task?

Is r better than python for machine learning?

126

Which is the best language for machine learning?

What is naive bayes used for?

Is it better to learn python or r?

101

Why classification is important in machine learning?

106

What is the objective of machine learning?

197

What is svm algorithm?

141

Is python the best language for machine learning?

148

How does naive bayes classifier work in machine learning?

Can naive bayes be used for multiclass classification?

What are the different types of classifiers?

105

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Un-Answered Questions { AI Machine Learning }

What do you mean by parametric models? Also, give some examples of them?

What is the main difference between a Pandas series and a single-column DataFrame in Python?

119

Which is more important to you – model accuracy or model performance?

What is Seq2Seq Tensorflow?

121

Which os is good for machine learning?

124

Tell us which do you think is more important: model accuracy or model performance?

What are the five popular algorithms of Machine Learning?

109

List down various approaches to machine learning?

172

What is a binary classification in machine learning?

Why is it important for the royal society to be doing a project about machine learning?

What is PAC Learning?

109

Comparision between Machine Learning and Big Data?

123

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

Differentiate between data science, machine learning and ai.

Explain the decision tree classification?

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