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 Are The Steps Involved In Machine Learning Project?

103

What is optimization in ML?

142

When is ridge regression favorable over lasso regression?

159

What is the difference between symbolic and non symbolic AI?

133

What are the differences between machine learning and artificial intelligence?

106

Is it better to learn python or r?

Mention the difference between Data Mining and Machine learning?

136

Explain the difference between a generative and discriminative model?

What is the confusion matrix in machine learning?

135

How will you explain machine learning to a layperson?

Tell us what do you think of our current data process?

What is the difference between artificial intelligence and machine learning?

123

Is it better to have too many false positives or too many false negatives? Explain.

What is keras sequential model?

352

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

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