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Lecture Notes - SVM PDF

13 Pages·2020·English
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by ['Indrajit Mitali Paul']| 2020| 13 pages| English

About Lecture Notes - SVM

This document provides an overview of support vector machines (SVM). It discusses that SVMs can handle complex problems like image recognition through the use of kernels. It explains that SVMs are a class of linear models that use hyperplanes to classify data, but kernels allow them to handle nonlinear data. The document covers key SVM concepts like maximal margin classifiers, soft margin classifiers, slack variables, and kernels.

Detailed Information

Author:['Indrajit Mitali Paul']
Publication Year:2020
Pages:13
Language:English
Format:PDF
Price:FREE
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