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 }

What language does google use for machine learning?

What is data augmentation in ml?

105

What are collinearity and multicollinearity?

118

What is naive bayes in machine learning?

What is symbolic planning?

116

What is the meaning of overfitting in machine learning?

100

Explain how do you ensure you're not overfitting with a model?

123

Why ensemble learning is used?

102

Pick an algorithm and write a Pseudocode for the same?

131

What is the difference between artificial learning and machine learning?

103

An example where ensemble techniques might be useful?

115

How to choose notable variables while working on a data set?

Can you explain bias-variance trade-off?

126

Please explain the concept of a boltzmann machine.

What are neural networks and where do they find their application in ML? Elaborate.

104

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