July 2017
Intermediate to advanced
254 pages
6h 29m
English
Content preview from Mastering Machine Learning with scikit-learn - Second Edition
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Summary
In this chapter, we discussed the SVM, a powerful model that can be used for classification and regression tasks. SVMs efficiently map features to higher dimensional spaces in which classes may be linearly separable. SVMs also maximize the margin between the decision boundary and the nearest training instances. In the next chapter, we will discuss models called ANN; like SVMs, they extend the perceptron to overcome its limitations.
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