Succinctly® Series On The Go
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
Author
ISBN
978-1-64200-150-1
Published on
October 23, 2017
Pages
114
Category
Tags
Type
RELATED EBOOKS
Search more than 200 Ebooks
Looking for something specific? Try our title or author search.