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 is symbolic machine learning?

114

What kind problems are solved by regularization?

119

Explain the types of machine learning?

101

What is symbolic learning in AI?

105

What is ensemble learning?

What is the use of naive bayes?

100

How is ML different from artificial intelligence?

127

Is bayesian a machine learning?

114

Which do you think is more important: model accuracy or model performance?

What are the most important machine learning techniques?

What is dimensionality reduction? Explain in detail.

117

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

105

What is the difference between artificial intelligence and machine learning?

123

How many types are available in machine learning?

187

Explain what is the difference between inductive machine learning and deductive machine learning?

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