Succinctly Series On The Go
Support Vector Machines (SVMs) are some of the most performant off-the-shelf, supervised machine-learning algorithms. In Support Vector Machines Succinctly, author Alexandre Kowalczyk guides readers through the building blocks of SVMs, from basic concepts to crucial problem-solving algorithms. He also includes numerous code examples and a lengthy bibliography for further study. By the end of the book, SVMs should be an important tool in the reader’s machine-learning toolbox.
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Prerequisites
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The Perceptron
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The SVM Optimization Problem
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Solving the Optimization Problem
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Soft Margin SVM
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Kernels
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The SMO Algorithm
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Multi-Class SVMs
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Conclusion
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Appendix A: Datasets
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Appendix B: The SMO Algorithm
Author
ISBN
978-1-64200-150-1
Published on
October 23, 2017
Pages
114
Category
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