Support Vector Machine (SVM) Interview Questions – Set 1

This quiz consists of questions and answers on Support Vector Machine (SVM). This is a practice test (objective questions and answers) which can be useful when preparing for interviews. The questions in this and upcoming practice tests could prove to be useful, primarily, for data scientist or machine learning interns / freshers / beginners. The questions are focused around some of the following areas:

• Introduction to SVM
• Types of SVM such as maximum-margin classifier, soft-margin classifier, support vector machine

Some of the key SVM concepts to understand while preparing for interview are following:

• SVM concepts and objective functions
• SVM kernel functions, tricks
• Concepts of C and Gamma value
• Scikit learn libraries for training SVM models

Here are some of the useful posts on SVM you could read for understanding SVM in a better manner:

• SVM Algorithm as Maximum Margin Classifier
• SVM Classifier using Scikit Learn – Code Examples
• SVM – Understanding C Value with Code Examples
• SVM as Soft Margin Classifier and C Value
• Machine Learning – SVM Kernel Trick Example
• SVM RBF Kernel Parameters with Code Examples

Support Vector Machine – Practice Test

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Ajitesh Kumar

I have been recently working in the area of Data Science and Machine Learning / Deep Learning. In addition, I am also passionate about various different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia etc and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc. I would love to connect with you on Linkedin.

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