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 most frequent metric to assess model accuracy for classification problems?

147

How do we know which machine learning algorithm is better for us to solve our problem?

180

How will you choose the most appropriate machine learning algorithm for your classification problem?

When should one use mean absolute error over root mean square error as a performance measure for regression problems?

166

What does linear in ‘linear regression’ actually mean?

178

What is the “curse of dimensionality?

107

What do you understand by decision tree classification?

What do you mean by parametric models?

How do we separate one dimensional, two dimensional and three-dimensional data?

115

How will you explain machine learning into a layperson?

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

Why do we convert categorical variables into factor?

106

What type of learning is needed when the system needs to adapt to rapidly changing data?

133

How to decide one problem is a machine learning problem or not?

199

What is the sigmoid function in machine learning?

117

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Un-Answered Questions { AI Machine Learning }

What is regularization in machine learning?

132

What is machine learning artificial intelligence?

110

Tell me what is a recommendation system?

192

Differentiate between data science, machine learning and ai.

What is the standard approach to supervised learning?

109

How will you explain machine learning to a layperson?

Which language is better for machine learning r or python?

103

What are convolutional networks? Where can we use them?

113

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

121

In what areas Pattern Recognition is used?

103

Why is naive bayes used for text classification?

157

Can you explain how do you handle missing or corrupted data in a dataset?

Is coding required for machine learning?

Which Python library is used for machine learning?

195

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

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