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LM101-047: How Build a Support Vector Machine to Classify Patterns (Rerun)

EPISODE · Mar 14, 2016 · 35 MIN

LM101-047: How Build a Support Vector Machine to Classify Patterns (Rerun)

from Learning Machines 101

We explain how to estimate the parameters of such machines to classify a pattern vector as a member of one of two categories as well as identify special pattern vectors called “support vectors” which are important for characterizing the Support Vector Machine decision boundary. The relationship of Support Vector Machine parameter estimation and logistic regression parameter estimation is also discussed.For more information..check us out at: www.learningmachines101.com also check us out on twitter at: lm101talk  

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LM101-047: How Build a Support Vector Machine to Classify Patterns (Rerun)

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