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?

180

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?

106

What are the best python libraries used in machine learning?

227

What are the best public data sets for machine learning?

Un-Answered Questions { AI Machine Learning }

What are the most important machine learning techniques?

What is a seq2seq model?

138

What is bias-variance trade-off in machine learning?

What is your favorite algorithm and also explain the algorithm in briefly in a minute?

What is the difference between inductive and deductive learning?

146

What are some common unsupervised tasks other than clustering?

Why is naive bayes so naive?

Explain the difference between machine learning and regression?

What are standardization and normalisation? Give one advantage of each over the other?

Describe the classifier in machine learning.

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

136

Explain Ensemble learning technique in Machine Learning?

120

What are PCA, KPCA, and ICA used for?

What is bayes' theorem? How is it useful in a machine learning context?

What’s your favorite algorithm, and can you explain it to me in less than a minute?

159

For More Un-Answered { AI Machine Learning } Questions Click Here