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Clojure for Machine Learning by Akhil Wali

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Chapter 3. Categorizing Data

In this chapter, we will explore classification, which is yet another interesting problem in supervised learning. We will examine a handful of techniques for classifying data and also study how we can leverage these techniques in Clojure.

Classification can be defined as the problem of identifying the category or class of the observed data based on some empirical training data. The training data will have the values of the observable features or independent variables. It will also have a known category for these observed values. Classification is similar to regression in the sense that we predict a value based on another set of values. However, for classification, we are interested in the category of the observed values ...

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