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Adversarial Machine Learning

Written by leading researchers, this complete introduction brings together all the theory and tools needed for building robust machine learning in adversarial environments. Discover how machine learning systems can adapt when an adversary actively poisons data to manipulate statistical inference, learn the latest practical techniques for investigating system security and performing robust data analysis, and gain insight into new approaches for designing effective countermeasures against the…

Machine Learning And Cybernetics

Pub Date : 2014-12-04 | Author : Xizhao Wang | Publisher : Springer

ISBN 10 : 9783662456521
ISBN 13 : 3662456524

This book constitutes the refereed proceedings of the 13th International Conference on Machine Learning and Cybernetics, Lanzhou, China, in July 2014. The 45 revised full papers pr..

Support Vector Machines Applications

Pub Date : 2014-02-12 | Author : Yunqian Ma | Publisher : Springer Science & Business Media

ISBN 10 : 9783319023007
ISBN 13 : 3319023004

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 im..

Large Scale Machine Learning With Spark

Pub Date : 2016-10-27 | Author : Md. Rezaul Karim | Publisher : Packt Publishing Ltd

ISBN 10 : 9781785883712
ISBN 13 : 1785883712

Discover everything you need to build robust machine learning applications with Spark 2.0 About This Book Get the most up-to-date book on the market that focuses on design, enginee..

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