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?

105

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 }

Explain what are some methods of reducing dimensionality?

What is the standard approach to supervised learning?

107

what is the function of ‘supervised learning’?

Explain Classification and Regression?

173

What is dimension reduction in Machine Learning?

175

Explain how does naive bayes classifier work in machine learning?

105

Explain the types of machine learning?

101

Tell me what is supervised versus unsupervised learning?

103

What are the three types of algorithms?

What are the three stages to build the hypotheses or model in machine learning?

How do bias and variance play out in machine learning?

161

How will you explain machine learning into a layperson?

What is Seq2Seq Tensorflow?

121

How do you choose an algorithm for a classification problem?

102

What is a class in machine learning?

103

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