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?

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 do I learn Python machine learning?

161

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

161

What is the difference between machine learning and regression?

132

What is your training in machine learning and what types of hands-on experience do you have?

150

What is the difference between probability and likelihood?

164

What is your favorite use case for machine learning models?

What according to you, is more important between model accuracy and model performance?

170

What is the difference between machine learning vs data mining?

163

Why is naive bayes better than decision tree?

138

What is machine learning in artificial intelligence?

Why is Python better for machine learning?

301

Which os is best for machine learning?

138

Tell us when should you use classification over regression?

What is a recommendation system?

142

Can you name some popular machine learning algorithms?

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