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.
This open book is licensed strictly for personal or educational use. You can download Support Vector Machines Succinctly ebook for free in PDF format (3.7 MB).
Table of Contents
The SVM Optimization Problem
Solving the Optimization Problem
Soft Margin SVM
The SMO Algorithm
The SMO Algorithm
For personal or educational use
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