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?

125

What is recall?

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

Explain when should you use classification over regression?

Un-Answered Questions { AI Machine Learning }

What cross-validation technique would you use on a time series dataset?

110

Differentiate between data science, machine learning and ai.

Explain when should you use classification over regression?

What is precision and recall?

How does naive bayes classifier work in machine learning?

Why do we need a validation set and test set? What is the difference between them?

112

Why naive bayes is called naive?

What is regularization? Can you give some examples of regularization techniques?

105

Explain the Algorithm of Decision Trees in Machine Learning?

Is rotation necessary in PCA?

172

Explain How We Can Capture The Correlation Between Continuous And Categorical Variable?

122

What are confounding variables?

132

What are the components of relational evaluation techniques?

151

What does linear in ‘linear regression’ actually mean?

178

What is machine learning good for?

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