Hardcover
This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, cryptography, and intrusion detection. The book will be relevant for students in machine learning and…

Introduction to Machine Learning with Applications in Information Security

$215.33

  • Hardcover

    346 pages

  • Release Date

    7 September 2017

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Summary

Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is accessible and doesn’t prove theorems, or otherwise dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts.

The book covers core machine learning topics in-de…

Book Details

ISBN-13:9781138626782
ISBN-10:1138626783
Author:Mark Stamp
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Hardcover
Number of Pages:346
Release Date:7 September 2017
Weight:657g
Dimensions:156mm x 234mm
Series:Chapman & Hall/CRC Machine Learning & Pattern Recognition
A-Format
B-Format
C-Format
Introduction to Machine Learning with Applications in Information Security by Mark Stamp - ISBN: 9781138626782
156 × 234 mm
A4
mm / in
About The Author

Mark Stamp

Mark Stamp is a Professor at San Jose State University, and the author of two textbooks, Information Security: Principles and Practice and Applied Cryptanalysis: Breaking Ciphers in the Real World.

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