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 are the two classification methods that SVM ( Support Vector Machine) can handle?

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

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

103

What is an Incremental Learning algorithm in ensemble?

103

What is PCA, KPCA and ICA used for?

102

What are the different methods for Sequential Supervised Learning?

109

What are the areas in robotics and information processing where sequential prediction problem arises?

103

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

Give a popular application of machine learning that you see on day to day basis?

What is symbolic machine learning?

114

What is the difference between symbolic and non symbolic AI?

133

What is symbolic reasoning?

150

Who is associated with the theory of symbolic learning?

What is symbolic processing?

126

What is symbolic learning?

112

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Un-Answered Questions { AI Machine Learning }

Tell us what is decision tree classification?

187

Why machine learning?

Mention any one of the data visualization tools that you are familiar with?

Tell me how is knn different from k-means clustering?

What is pruning in decision trees?

118

What is calibration in machine learning?

102

How many types are available in machine learning?

187

Do gradient descent methods at all times converge to a similar point?

129

What is the Applying the model in Machine Learning?

135

How is ML different from artificial intelligence?

127

What are the most common types of machine learning task?

Why do we use Python and machine learning AI?

Tell me what is a recommendation system?

180

Why ensemble learning is used?

102

Why do we need to convert categorical variables into factor?

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