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Machine Learning for Cybersecurity Cookbook
book

Machine Learning for Cybersecurity Cookbook

by Emmanuel Tsukerman
November 2019
Intermediate to advanced content levelIntermediate to advanced
346 pages
9h 36m
English
Packt Publishing
Content preview from Machine Learning for Cybersecurity Cookbook

Selecting the best N-grams

The number of different N-grams grows exponentially in N. Even for a fixed tiny N, such as N=3, there are 256x256x256=16,777,216 possible N-grams. This means that the number of N-grams features is impracticably large. Consequently, we must select a smaller subset of N-grams that will be of most value to our classifiers. In this section, we show three different methods for selecting the topmost informative N-grams.

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Publisher Resources

ISBN: 9781789614671Supplemental Content