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

Explain me a hash table?

Tell me what is precision and recall?

129

Tell me how would you implement a recommendation system for our company's users?

225

Tell me what are the last machine learning papers you've read?

208

Explain me what is machine learning?

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

Tell me how much data will you allocate for your training, validation and test sets?

179

Tell me how a roc curve works?

Tell me what is the most frequent metric to assess model accuracy for classification problems?

Tell us why is “naive” bayes naive?

Do you know what's the “kernel trick” and how is it useful?

Tell us when should you use classification over regression?

Tell us when will you use classification over regression?

133

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

167

Tell me what is supervised versus unsupervised learning?

103

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Un-Answered Questions { AI Machine Learning }

what is the function of ‘unsupervised learning’?

What is the F1 score?

What are the best python libraries used in machine learning?

263

How is F1 score is used?

200

Tell me how is knn different from k-means clustering?

113

What is regression in machine learning with example?

101

What is machine learning in artificial intelligence?

Is it better to have too many false positives or too many false negatives? Explain.

When does regularization become necessary in machine learning?

210

How can you ensure that you are not overfitting with a particular model?

111

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

113

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

111

What are the types of machine learning?

100

In what areas Pattern Recognition is used?

103

What are the different Algorithm techniques in Machine Learning?

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