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Adversarial Machine Learning (English, Anthony D. Joseph | Blaine Nelson | Benjamin I. P. Rubinstein)-55% OFF
Exam Preparation

Adversarial Machine Learning (English, Anthony D. Joseph | Blaine Nelson | Benjamin I. P. Rubinstein)

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Specifications

PublisherCambridge University Press
LanguageEnglish
ISBN-139781107043466
ISBN-101107043468
AuthorAnthony D. Joseph | Blaine Nelson | Benjamin I. P. Rubinstein

Product Description

Here on GlowMirror, you'll find Adversarial Machine Learning filed under Exam Preparation -- everything you need to know is covered below.

About the Book

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 de…

ISBN: 9781107043466

Book Insights

What You'll Learn

  • ·In-depth exploration of topics covered in Adversarial Machine Learning
  • ·Key concepts explained with clarity and practical examples
  • ·Insights valuable for anyone studying or working in Exam Preparation

Who Should Read This

Beginners and newcomers to the subject, as well as curious general readers.

Key Highlights

  • ·Brand new physical book delivered across India
  • ·15-day hassle-free return policy

Frequently Asked Questions

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Is Adversarial Machine Learning available in English?
Adversarial Machine Learning is available in English on GlowMirror.
Who is the author of Adversarial Machine Learning?
Adversarial Machine Learning is authored by Anthony D. Joseph | Blaine Nelson | Benjamin I. P. Rubinstein.
Who published Adversarial Machine Learning?
Adversarial Machine Learning is published by Cambridge University Press.
How many pages does Adversarial Machine Learning have?
Page count information for Adversarial Machine Learning is available in the specifications section of this page.
How long does it take to read Adversarial Machine Learning?
At an average reading speed of 250 words per minute, reading Adversarial Machine Learning takes a few hours to a few days depending on reading pace.
What is Adversarial Machine Learning about?
About the Book 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 statisti...
Is Adversarial Machine Learning suitable for beginners?
Whether Adversarial Machine Learning is suitable for beginners depends on your background in Exam Preparation. Review the product description and specifications above for details on the target audience and difficulty level.
What edition is Adversarial Machine Learning?
Adversarial Machine Learning is from the Cambridge University Press edition/year. Check the specifications section for full edition details.
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Adversarial Machine Learning listed on GlowMirror is a brand new book in good condition.
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