December 2018
Intermediate to advanced
318 pages
8h 28m
English
Support vector machines (SVMs) are supervised learning algorithms used in both linear and non linear classification. SVMs operate by creating an optimal hyperplane in high dimensional space. The separation created by this hyperplane is called class. SVMs need very little tuning once trained. They are used in high performing systems because of the reliability they have to offer.
SVMs are also used in regression analysis and in ranking and categorization.
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