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?

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 }

Describe 'training set' and 'training test'.

Which linux is best for machine learning?

What are the smaller dataset techniques?

What are the various aspects of a machine learning process?

Tell us how do deductive and inductive machine learning differ?

150

“People who bought this, also bought….” Recommendations on amazon are a result of which machine learning algorithm?

158

What is a seq2seq model?

145

What Is The Difference Between An Array And Linked List?

101

Describe dimension reduction in machine learning.

What is machine learning artificial intelligence?

110

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

142

Explain me a hash table?

What is the classification threshold in machine learning?

246

What are the advantages of Naive Bayes?

134

What is Machine learning?

116

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