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Support Vector Machines Overview by quan.nguyendn2003 is a document available to read on EtoBox.

What is Support Vector Machines Overview about?

Chapter 8 discusses Support Vector Machines (SVM), a powerful algorithm for classifying both linear and nonlinear data by finding the optimal separating hyperplane in a higher-dimensional space. It covers the principles of SVM, including binary and multi-class classification, the concept of support vectors, and the optimization problem involved in maximizing the margin between classes. The chapter also highlights the applications of SVMs in various fields such as handwritten digit recognition and speaker id

Author

quan.nguyendn2003

Language

EN