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?

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?

103

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?

108

What is the difference between symbolic and non symbolic AI?

127

What is symbolic reasoning?

144

Who is associated with the theory of symbolic learning?

What is symbolic processing?

122

What is symbolic learning?

104

Un-Answered Questions { AI Machine Learning }

What is the box-cox transformation used for?

What is the difference between symbolic and non symbolic AI?

127

What do you understand by cluster sampling?

List down various approaches to machine learning?

168

Describe dimension reduction in machine learning.

Why data cleansing is important in data analysis?

What is recall?

What is a Confusion Matrix?

106

Explain how is knn different from k-means clustering?

114

What is dimensionality reduction? Explain in detail.

112

What is Cluster Sampling in Machine Learning?

112

Tell us when will you use classification over regression?

117

Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

What is classifier in machine learning?

How do you choose an algorithm for a classification problem?

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