Large-scale Linear and Kernel Classification – Part 1
Microsoft
Large-scale Linear and Kernel Classification – Part 1
Linear and kernel methods are important machine learning techniques for data classification. Popular examples include support vector machines (SVM) and logistic regression. We begin with an introduction on this subject by deriving their optimization problems through different aspects. This discussion is useful because many people are confused ...
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Large Linear Classification when Data Cannot Fit In Memory
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