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Hands-On Machine Learning for Cybersecurity

You're reading from   Hands-On Machine Learning for Cybersecurity Safeguard your system by making your machines intelligent using the Python ecosystem

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Product type Paperback
Published in Dec 2018
Publisher Packt
ISBN-13 9781788992282
Length 318 pages
Edition 1st Edition
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Authors (2):
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Soma Halder Soma Halder
Author Profile Icon Soma Halder
Soma Halder
Sinan Ozdemir Sinan Ozdemir
Author Profile Icon Sinan Ozdemir
Sinan Ozdemir
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Toc

Table of Contents (13) Chapters Close

Preface 1. Basics of Machine Learning in Cybersecurity 2. Time Series Analysis and Ensemble Modeling FREE CHAPTER 3. Segregating Legitimate and Lousy URLs 4. Knocking Down CAPTCHAs 5. Using Data Science to Catch Email Fraud and Spam 6. Efficient Network Anomaly Detection Using k-means 7. Decision Tree and Context-Based Malicious Event Detection 8. Catching Impersonators and Hackers Red Handed 9. Changing the Game with TensorFlow 10. Financial Fraud and How Deep Learning Can Mitigate It 11. Case Studies 12. Other Books You May Enjoy

Installation of TensorFlow

By performing a simple and clean TensorFlow installation, the installation becomes very easy, and a simple pip statement will be fine. So if your are installing TensorFlow just to learn its capabilities, you can run the following code:

$ pip install tensorflow

To install TensorFlow in a conda environment, run the following:

conda install –n tensorflow spyder

TensorFlow, however, overrides existing installations of Python. So if Python is being used for other processes, the previous installation may break the existing versions. In such a case, it is recommended that you either check the respective dependencies or get hold of a virtual environment where you can do the TensorFlow installation.

In the following section, we will set up a virtual environment where we will install TensorFlow. We start with installing virtualenv in the machine...

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