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?

127

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?

176

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?

What are the best python libraries used in machine learning?

223

What are the best public data sets for machine learning?

Un-Answered Questions { AI Machine Learning }

Why classification is important in machine learning?

Is python good for machine learning?

What is the benefit of naive bayes in machine learning?

Explain what is a recommendation system?

Explain the bias-variance tradeoff.

What do you understand by ilp?

What is a checkpoint in machine learning?

101

What do you understand by underfitting?

What is your favorite use case for machine learning models?

How do you ensure you're not overfitting with a model?

121

What is the use of naive bayes?

Can you explain rescaling data technique in data pre-processing?

How to decide one problem is a machine learning problem or not?

187

Explain the difference between bayesian and frequentist?

Tell us what is the difference between supervised and unsupervised machine learning?

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