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2.4.4 Support Vector Machine

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Support vector machine is a curated reading system and is used for classification and retrospective problems. The support vector machine is very popular, as it produces remarkable accuracy with low calculation power. It is widely used in segregation problems. It has three types: targeted, unsupervised, and reinforced learning. A support vector machine is a selected separator that is officially defined by separating the hyperplane. With the provision of training data, the release of advanced hyperplane algorithm that separates new models is labeled.

Advanced Analytics and Deep Learning Models

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