Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/1318| Title: | Hands-On Machine Learning for Cybersecurity |
| Other Titles: | Safeguard your system by making your machines intelligent using the Python ecosystem |
| Authors: | Halder, Soma Ozdemir, Sinan |
| Keywords: | Hands-On Machine Learning for Cybersecurity |
| Issue Date: | Dec-2018 |
| Publisher: | Packt Publishing |
| Series/Report no.: | 1281218; |
| Abstract: | The damage that cyber threats can wreak upon an organization can be incredibly costly. In this book, we use the most efficient and effective tools to solve the big problems that exist in the cybersecurity domain and provide cybersecurity professionals with the knowledge they need to use machine learning algorithms. This book aims to bridge the gap between cybersecurity and machine learning, focusing on building new and more effective solutions to replace traditional cybersecurity mechanisms and provide a collection of algorithms that empower systems with automation capabilities. |
| URI: | http://hdl.handle.net/123456789/1318 |
| ISBN: | 978-1-78899-228-2 |
| Appears in Collections: | E-Books |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Hands-On Machine Learning.pdf | 5.13 MB | Adobe PDF | View/Open |
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