November 2019
Intermediate to advanced
346 pages
9h 36m
English
Content preview from Machine Learning for Cybersecurity Cookbook
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Extracting N-grams
In standard quantitative analysis of text, N-grams are sequences of N tokens (for example, words or characters). For instance, given the text The quick brown fox jumped over the lazy dog, if our tokens are words, then the 1-grams are the, quick, brown, fox, jumped, over, the, lazy, and dog. The 2-grams are the quick, quick brown, brown fox, and so on. The 3-grams are the quick brown, quick brown fox, brown fox jumped, and so on. Just like the local statistics of the text allowed us to build a Markov chain to perform statistical predictions and text generation from a corpus, N-grams allow us to model the local statistical properties of our corpus. Our ultimate goal is to utilize the counts of N-grams to help us predict whether ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.