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Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners by Ekaba Bisong

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© Ekaba Bisong 2019
E. . BisongBuilding Machine Learning and Deep Learning Models on Google Cloud Platformhttps://doi.org/10.1007/978-1-4842-4470-8_22

22. Support Vector Machines

Ekaba Bisong1 
(1)
OTTAWA, ON, Canada
 
Support vector machine (SVM) is a machine learning algorithm for learning classification and regression models. To build intuition, we will consider the case of learning a classification model with SVM. Given a dataset with two target classes that are linearly separable, it turns out that there exists an infinite number of lines that can discriminate between the two classes (see Figure 22-1). The goal of the SVM is to find the best line that separates the two classes. In higher dimensions, this line is called a hyperplane.
Figure 22-1 ...

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