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Can you explain how Support Vector Machine works?

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Answers

Anonymous

2.8Fair
Support vector machines is a popular regression and classification algorithm. The first step in its working is to multiply each feature value by its corresponding weight, then we need to sum this multiplication results and add a bias value. Then we apply the Sign function to our final result of the previous summation and if the result is positive this particular example will be classified as 1, if the result is negative it will be classified -1, respectivel.
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Interview question asked to Machine Learning Engineers interviewing at Pinterest, eToro, Dropbox and others: Can you explain how Support Vector Machine works?.