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

What is the difference between bayesian and frequentist?

What are the machine learning techniques?

Is machine learning hard?

191

How many types are available in machine learning?

181

What is the purpose of machine learning?

103

Why is logistic regression better than naive bayes?

131

Is bayesian a machine learning?

112

What is the benefit of naive bayes in machine learning?

Why is python so good?

Why is python best for machine learning?

What is machine learning basics?

What are the topics in machine learning?

Why machine learning is so important?

110

Which language is best for deep learning?

156

Is machine learning a good career?

Un-Answered Questions { AI Machine Learning }

What are some differences between a linked list and an array?

What cross-validation technique would you use on a time series dataset?

What is symbolic planning?

106

What is the difference between heuristic for rule learning and heuristics for decision

151

What is the purpose of a classifier?

What are confounding variables?

126

Why do we need a validation set and test set? What is the difference between them?

107

Which language is better for machine learning?

Explain the Genetic Programming in Machine Learning?

Is machine learning jobs in demand?

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

169

What’s the difference between Type I and Type II error?

143

Can you name some feature extraction techniques used for dimensionality reduction?

Do you have research experience in machine learning?

What is the general principle of an ensemble method and what is bagging and boosting in ensemble method?

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