Support-vector machine from perspective of data science
In machine learning, support-vector machines (SVMs, also support-vector networks) SVMs are one of the most robust prediction methods, being based on statistical learning frameworks or VC theory proposed by Vapnik (1982, 1995) and Chervonenkis (1974).
Support-vector machine from perspective of data science
In machine learning, support-vector machines (SVMs, also support-vector networks) SVMs are one of the most robust prediction methods, being based on statistical learning frameworks or VC theory proposed by Vapnik (1982, 1995) and Chervonenkis (1974).
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