Daffodil International University
Faculties and Departments => Faculty Sections => Faculty Forum => Topic started by: anwar.swe on November 14, 2017, 09:10:45 PM
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What is the goal of the Support Vector Machine (SVM)?
The goal of a support vector machine is to find the optimal separating hyperplane which maximizes the margin of the training data.
The first thing we can see from this definition is that a SVM needs training data. Which means it is a supervised learning algorithm.
It is also important to know that SVM is a classification algorithm. Which means we will use it to predict if something belongs to a particular class.
Source:https://www.svm-tutorial.com/
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Thanks sir
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nice
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Thanks for sharing :)
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nice
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nice