Machine Learning and Security
Protecting Systems with Data and Algorithms
Preview
| Amazon | $30.49 |
| BetterWorldBooks | $56.24 |
| BiggerBooks | $57.02 |
| eBay | $68.30 |
| eBooks.com | $50.99 |
| eCampus | $58.19 |
| update prices | |
| Price | $30.49 - $68.30
|
| Rating |   |
| Authors | Clarence Chio, David Freeman |
| Publisher | O'Reilly Media |
| Published | 2018 |
| Pages | 386 |
| Language | English |
| Format | Paper book / ebook (PDF) |
| ISBN-10 | 1491979909 |
| ISBN-13 | 9781491979907 |
Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you'll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, and network analysis.
Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that you can apply to an array of security problems. This book is ideal for security engineers and data scientists alike.
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.
- Clarence Chio
- David Freeman
4 5 13
Similar Books
by Jeffrey Jackovich, Ruze Richards
Machine Learning with AWS is the right place to start if you are a beginner interested in learning useful artificial intelligence (AI) and machine learning skills using Amazon Web Services (AWS), the most popular and powerful cloud platform. You will learn how to use AWS to transform your projects into apps that work at high speed and are...
Price: $34.99 | Publisher: Packt Publishing | Release: 2018
Hands-On Machine Learning with C++
by Kirill Kolodiazhnyi
C++ can make your machine learning models run faster and more efficiently. This handy guide will help you learn the fundamentals of machine learning (ML), showing you how to use C++ libraries to get the most out of your data. This book makes machine learning with C++ for beginners easy with its example-based approach, demonstrating how to...
Price: $48.95 | Publisher: Packt Publishing | Release: 2020
Python Machine Learning, 3rd Edition
by Sebastian Raschka, Vahid Mirjalili
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and working examples, the book covers all the esse...
Price: $35.99 | Publisher: Packt Publishing | Release: 2019
Mastering Machine Learning Algorithms
by Giuseppe Bonaccorso
Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will...
Price: $35.99 | Publisher: Packt Publishing | Release: 2018
Building Machine Learning Systems with Python, 3rd Edition
by Luis Pedro Coelho, Willi Richert, Matthieu Brucher
Machine learning allows systems to learn things without being explicitly programmed to do so. Python is one of the most popular languages used to develop machine learning applications, which take advantage of its extensive library support. This third edition of Building Machine Learning Systems with Python addresses recent developments in...
Price: $39.99 | Publisher: Packt Publishing | Release: 2018
Hands-On Automated Machine Learning
by Sibanjan Das, Umit Mert Cakmak
AutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners' work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed wi...
Price: $31.99 | Publisher: Packt Publishing | Release: 2018
by Xuanyi Chew
Go is the perfect language for machine learning; it helps to clearly describe complex algorithms, and also helps developers to understand how to run efficient optimized code. This book will teach you how to implement machine learning in Go to make programs that are easy to deploy and code that is not only easy to understand and debug, but...
Price: $37.34 | Publisher: Packt Publishing | Release: 2018
Hands-On Machine Learning with C#
by Matt R. Cole
The necessity for machine learning is everywhere, and most production enterprise applications are written in C# using tools such as Visual Studio, SQL Server, and Microsoft Azur2e. Hands-On Machine Learning with C# uniquely blends together an understanding of various machine learning concepts, techniques of machine learning, and various a...
Price: $31.99 | Publisher: Packt Publishing | Release: 2018