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's the “kernel trick” and how is it useful?

Explain the different types of classifiers?

Is python the best language for machine learning?

148

Explain the Algorithm Technique of Semi-supervised Learning in Machine Learning?

What are the different categories you can categorized the sequence learning process?

What laptop should I buy for machine learning?

What is supervised and unsupervised machine learning?

142

Explain how do classification and regression differ?

155

What is the confusion matrix in machine learning?

137

What is the difference between bayes and naive bayes?

137

Is Python enough for machine learning?

100

What is bias-variance decomposition of classification error in ensemble method?

103

Why is manhattan distance not used in knn machine learning algorithm to calculate the distance between nearest neighbors?

167

What is an Incremental Learning algorithm in the ensemble?

107

How does a classifier work?

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