10A BOUNDARY APPROACH: SUPPORT VECTOR MACHINES
Support vector machines (SVMs), together with neural networks (NNs), are arguably the two most “purist” of ML methods, motivated originally by artificial intelligence—that is, nonstatistical concepts. We’ll cover SVMs in this chapter and NNs in the next. SVMs are best known for classification applications. They can be used in regression settings as well, but we will focus on classification.
Keep in mind this chapter will be a tad more mathematical than the others. Staying true to the nonmath spirit of the book, though, equations will be kept to the absolute minimum. SVM is such a powerful, generally ...
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