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?

143

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

178

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?

162

What does linear in ‘linear regression’ actually mean?

178

What is the “curse of dimensionality?

102

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?

111

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?

104

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

124

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

194

What is the sigmoid function in machine learning?

114

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Un-Answered Questions { AI Machine Learning }

What are confounding variables?

132

What is your favorite use case for machine learning models?

What do you understand by the f1 score?

What is the use of gradient descent?

108

What is the “curse of dimensionality?

102

What is boosting in Machine Learning?

Which classifier is best in machine learning?

What are the important data pre-processing techniques in python machine learning?

What do you understand by selection bias?

192

Why is python so popular in machine learning?

What is the Applying the model in Machine Learning?

135

How do deductive and inductive machine learning differ?

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

What is optimization in ML?

142

Explain the Algorithm Technique of Supervised Learning in Machine Learning?

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