Your account has not been activated. Click here to send an activation email to your email address.
Unfortunately, activation email could not send to your email. Please try again.

Support Vector Machines Succinctly


Alexandre Kowalczyk

Support Vector Machines Succinctly
Free EBook
  • OVERVIEW

    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.

  • TABLE OF CONTENTS
    • 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

Author

Alexandre Kowalczyk

Published on

October 23, 2017

Pages

114

Categories
Tags

Search more than 130 E-books

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

Explore all e-books
Thank you for downloading Support Vector Machines Succinctly .
×

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.