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?

105

Explain the difference between bias and variance?

Define a fourier transform?

Explain how is knn different from k-means clustering?

112

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?

145

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

107

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 is symbolic reasoning?

144

What is a seq2seq model?

130

What is sequential data in machine learning?

125

Define what is Fourier Transform in a single sentence?

What is the standard approach to supervised learning?

What is the benefit of naive bayes in machine learning?

What is convex hull?

118

Why instance based learning algorithm sometimes referred as Lazy learning?

173

What are the recommended systems?

119

Tell us what do you think of our current data process?

What is the difference between symbolic and non symbolic AI?

125

What are the smaller dataset techniques?

Explain the benefit of naive bayes in machine learning?

What are two techniques of Machine Learning?

119

Explain how does naive bayes classifier work in machine learning?

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