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Clojure for Machine Learning by Akhil Wali

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Chapter 6. Building Support Vector Machines

In this chapter, we will explore Support Vector Machines (SVMs). We will study several SVM implementations in Clojure that can be used to build and train an SVM using some given training data.

SVMs are supervised learning models that are used for both regression and classification. In this chapter, however, we will focus on the problem of classification within the context of SVMs. SVMs find applications in text mining, chemical classification, and image and handwriting recognition. Of course, we should not overlook the fact that the overall performance of a machine learning model mostly depends on the amount and nature of the training data and is also affected by which machine learning model we use to ...

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