AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

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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?

106

Explain how is knn different from k-means clustering?

127

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?

159

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

129

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 }

Why overfitting occurs?

117

What are confounding variables?

138

Explain the Algorithm of Neural Networks (back propagation) in Machine Learning?

111

Why instance based learning algorithm sometimes referred as lazy learning algorithm?

What is the standard approach to supervised learning?

109

Why instance-based learning algorithm sometimes referred to as lazy learning algorithm?

What do you understand by decision tree classification?

Explain why Navie Bayes is so Naive?

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

142

How can we use your machine learning skills to generate revenue?

113

How do bias and variance play out in machine learning?

169

Compare sas, r and python programming?

168

Which is best language for machine learning?

115

Explain the various benefits of r language?

Explain me what is machine learning?

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