Develop a scalable svm algorithm

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Reference no: EM131221666

The support vector machine is a highly accurate classification method. However, SVM classifiers suffer from slow processing when training with a large set of data tuples. Discuss how to overcome this difficulty and develop a scalable SVM algorithm for efficient SVM classification in large data sets.

Reference no: EM131221666

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