We use cookies to give you the best experience on our website. If you continue to browse, then you agree to our privacy policy and cookie policy. (Last updated on: June 24, 2019).
Unfortunately, activation email could not send to your email. Please try again.
Syncfusion Feedback

Succinctly Series On The Go

Download 170+ free ebooks on your phone or tablet and learn about the latest trends in software development.
Explore all ebooks

Support Vector Machines Succinctly

Alexandre Kowalczyk

Support Vector Machines Succinctly Free eBook
Free EBook

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.

  • Prerequisites

  • The Perceptron

  • The SVM Optimization Problem

  • Solving the Optimization Problem

  • Soft Margin SVM

  • Kernels

  • The SMO Algorithm

  • Multi-Class SVMs

  • Conclusion

  • Appendix A: Datasets

  • Appendix B: The SMO Algorithm


Alexandre Kowalczyk

Published on

October 23, 2017




Search more than 170 Ebooks

Looking for something specific? Try our title or author search.

Thank you for downloading Support Vector Machines Succinctly .

Warning Icon You are using an outdated version of Internet Explorer that may not display all features of this and other websites. Upgrade to Internet Explorer 8 or newer for a better experience.Close Icon

Live Chat Icon For mobile
Live Chat Icon