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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

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