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

129

Explain the difference between a generative and discriminative model?

What is bayes' theorem?

Explain how can we use your machine learning skills to generate revenue?

Explain what is a recommendation system?

Explain some differences between a linked list and an array?

Explain the decision tree classification?

How is decision tree pruned?

What is difference between a parameter and a hyperparameter?

182

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

Why machine learning?

Why is naive bayes so naive?

What is roc?

108

What are the best python libraries used in machine learning?

262

What are the best public data sets for machine learning?

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Un-Answered Questions { AI Machine Learning }

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

179

How do we know which machine learning algorithm is better for us to solve our problem?

180

What is keras sequential model?

356

What do you mean by Overfitting? How to avoid this?

138

Explain Classification and Regression?

183

How will you explain machine learning to a layperson in an easily comprehensible manner?

What is Test set in machine learning?

128

Difference between Classification and Regression?

322

What is stratified cross-validation and when should we use it?

152

What are the types of machine learning?

100

What are the 3 types of ai?

100

Explain the difference between bayes and naive bayes?

150

What are the different types of algorithm methods in machine learning?

Explain the difference between bayesian and frequentist?

108

Where do we use encoder and decoder?

107

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