AI Machine Learning Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Machine Learning Interview Questions

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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?

What is an Incremental Learning algorithm in ensemble?

What is PCA, KPCA and ICA used for?

What are the different methods for Sequential Supervised Learning?

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

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?

106

What is the difference between symbolic and non symbolic AI?

125

What is symbolic reasoning?

144

Who is associated with the theory of symbolic learning?

What is symbolic processing?

118

What is symbolic learning?

100

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Un-Answered Questions { AI Machine Learning }

What is data structure? And what are the different types of data structures supported in r programming?

107

Tell us when will you use classification over regression?

115

What is the calibration layer in machine learning?

127

What are the important data pre-processing techniques in python machine learning?

What is symbolic planning?

106

What is ROC curve and what does it represent?

Differentiate between a parameter and a hyperparameter?

107

Explain the objective of machine learning?

100

Is python better than r?

113

Please explain the concept of a boltzmann machine.

What is roc?

What is the Difference between Inductive Learning and Analytical Learning in Machine Learning?

What is regression in machine learning?

168

Is machine learning hard?

191

Assume that you are working on a data set, explain how would you select important variables?

176

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