Machine Learning and Security (O'Reilly)
Machine Learning and Security (O'Reilly)
Thursday, 08 March 2018

This book provides a framework for discussing the interaction of two concepts: machine learning and security. Authors Clarence Chio and David Freeman examine a broad range of topics in the security space, and provide examples of how machine learning can be applied to augment or replace rule-based or heuristic solutions to problems like intrusion detection, malware classification, or network analysis. In addition to exploring the core machine learning algorithms and techniques, the authors focus on the challenges of building maintainable, reliable, and scalable data mining systems in the security space.

<ASIN:1491979909>

Worked examples and guided discussions are used to show how to think about data in an adversarial environment and how to identify the important signals that can get drowned out by noise.

Author: Clarence Chio and David Freeman
Publisher: O'Reilly
Date: Feb 2018
Pages: 386
ISBN: 978-1491979907
Print: 1491979909
Kindle: B079C7LKKY
Audience: developers interested in security
Level: Intermediate
Category: Artificial Intelligence and Security 

 

 

  • Learn how machine learning has contributed to the success of modern spam filters
  • Quickly detect anomalies, including breaches, fraud, and impending system failure
  • Conduct malware analysis by extracting useful information from computer binaries
  • Uncover attackers within the network by finding patterns inside datasets
  • Examine how attackers exploit consumer-facing websites and app functionality
  • Translate your machine learning algorithms from the lab to production
  • Understand the threat attackers pose to machine learning solutions

 

 

 

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

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JavaScript with Promises

Author:  Daniel Parker
Publisher: O'Reilly
Pages: 94
ISBN: 978-1449373214
Print: 1449373216
Kindle: B00YNY0BF8
Audience: Experienced JavaScript programmers
Rating: 4
Reviewer: Ian Elliot

Are you confused by promises? Perhaps 94 pages is all it takes to be unconfused.



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Author: Diomidis Spinellis
Publisher: Addison Wesley
Pages: 256
ISBN: 978-0134394794
Print: 0134394798
Kindle: B01HMR617O
Audience: Experienced programmers
Rating: 5
Reviewer: Mike James

Programming is 90% debugging so even a little improvement in effectiveness is worth it.& [ ... ]


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