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https://www.syncfusion.com/ebooks/support_vector_machines_succinctly
Nov 16, 2018 · 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 …
https://www.svm-tutorial.com/2017/10/support-vector-machines-succinctly-released/
Oct 24, 2017 · My ebook Support Vector Machines Succinctly is available for free. About Support Vector Machines Succinctly. While I was working on my series of articles about the mathematics behind SVMs, I have been contacted by Syncfusion to write an ebook in their "Succinctly" e-book series.The goal is to cover a particular subject in about 100 pages.
https://www.kobo.com/us/en/ebook/support-vector-machines-applications
Support vector machines (SVM) have both a solid mathematical background and practical applications. This book focuses on the recent advances and applications of the SVM, such as image processing, medical practice, computer vision, and pattern recognition, machine learning, applied statistics, and artificial intelligence.Brand: Springer International Publishing
https://www.springer.com/gp/book/9780387772417
“A mathematically elaborated topic of support vector machines in a book full with definitions and lemmas. It presents support vector machines (SVMs) as a successful modeling and prediction tool with different examples. This book has 12 chapters and 9 appendices that introduce also marginal applications of …
http://freecomputerbooks.com/Support-Vector-Machines-Succinctly.html
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.
https://www.quora.com/What-is-the-best-book-on-Support-Vector-Machines
* Gunn, Support Vector Machines for Classification and Regression, http://www.isis.ecs.soton.ac.uk/resources/svminfo/ * Hearst et al., Intro to SVM: http://svms.org ...
https://www.researchgate.net/publication/221621494_Support_Vector_Machines_Theory_and_Applications
This chapter presents a summary of the issues discussed during the one day workshop on ”Support Vector Machines (SVM) Theory and Applications” organized as part of the Advanced Course on ...
https://www.springer.com/gp/book/9781849960977
"This broad and deep … book is organized around the highly significant concept of pattern recognition by support vector machines (SVMs). … The book is praxis and application oriented but with strong theoretical backing and support.Author: Shigeo Abe
http://jermmy.xyz/images/2017-12-23/support_vector_machines_succinctly.pdf
Support Vector Machine is one of the most performant off-the-shelf supervised machine learning algorithms. This means that when you have a problem and you try to run a SVM on it, you will often get pretty good results without many tweaks. Despite this, because it is based on a strong mathematical background, it is often seen as a black box.
http://cs229.stanford.edu/notes/cs229-notes3.pdf
Support Vector Machines This set of notes presents the Support Vector Machine (SVM) learning al-gorithm. SVMs are among the best (and many believe are indeed the best) “off-the-shelf” supervised learning algorithms. To tell the SVM story, we’ll need to first talk about margins and the idea of separating data with a large “gap.”
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