Support Vector Machine (SVM)

Author Topic: Support Vector Machine (SVM)  (Read 1392 times)

Offline anwar.swe

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Support Vector Machine (SVM)
« on: November 14, 2017, 09:10:45 PM »
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/
Nd. Anwar Hossen
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Mentor, IEEE DIU Student Branch
Department of Software Engineering, FSIT
Daffodil International University

Offline SSH Shamma

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Re: Support Vector Machine (SVM)
« Reply #1 on: November 15, 2017, 12:07:10 PM »
Thanks sir
Syeda Sumbul Hossain
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Daffodil International University
Contact No. 01918455555

Offline murshida

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Re: Support Vector Machine (SVM)
« Reply #2 on: November 20, 2017, 12:14:11 PM »
nice

Offline munira.ete

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Re: Support Vector Machine (SVM)
« Reply #3 on: December 20, 2017, 05:43:54 PM »
Thanks for sharing  :)

Offline Raihana Zannat

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Re: Support Vector Machine (SVM)
« Reply #4 on: February 05, 2018, 03:35:33 PM »
nice
Raihana Zannat
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Daffodil International University
Dhaka, Bangladesh

Offline murshida

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Re: Support Vector Machine (SVM)
« Reply #5 on: March 07, 2018, 09:57:14 AM »
nice