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 evaluation approaches would you work to gauge the effectiveness of a machine learning model?

What are the last machine learning papers you've read?

113

Explain the difference between bias and variance?

Define a fourier transform?

100

Explain how is knn different from k-means clustering?

122

How would you use f1 score?

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

Explain the difference between type I and type ii error?

Define kernel svm?

How would you use fl score?

Explain how do classification and regression differ?

155

Explain how do you ensure you're not overfitting with a model?

123

What is recall?

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

Explain when should you use classification over regression?

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Un-Answered Questions { AI Machine Learning }

How is machine learning (ml) different from artificial intelligence (ai)?

123

How is ML different from artificial intelligence?

127

Which classifier is best in machine learning?

Tell us what are some differences between a linked list and an array?

145

What are collinearity and multicollinearity?

118

Why naïve bayes is called naïve?

105

What is the difference between Type 1 and Type 2 errors?

142

What is the difference between type I and type ii error?

161

Do gradient descent methods at all times converge to a similar point?

129

What is symbolic planning?

116

Tell us which one would you prefer to choose – model accuracy or model performance?

Explain how do you ensure you're not overfitting with a model?

123

What is accuracy score in machine learning?

116

Explain the purpose of machine learning?

Tell us how is a decision tree pruned?

131

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