Support Vector Machines Succinctly

by Alexandre Kowalczyk

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Book Description

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

Chapter 1
Prerequisites
 
Chapter 2
The Perceptron
 
Chapter 3
The SVM Optimization Problem
 
Chapter 4
Solving the Optimization Problem
 
Chapter 5
Soft Margin SVM
 
Chapter 6
Kernels
 
Chapter 7
The SMO Algorithm
 
Chapter 8
Multi-Class SVMs
 
Chapter 9
Conclusion
 
Appendix A
Datasets
 
Appendix B
The SMO Algorithm
 

Book Details

Subject
Computer Science
Publisher
Syncfusion
Published
2017
Pages
114
Edition
1
Language
English
PDF Size
3.7 MB
License
For personal or educational use

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