December 2018
Intermediate to advanced
318 pages
8h 28m
English
Content preview from Hands-On Machine Learning for Cybersecurity
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Imbalanced data
Classification often deals with a major problem that occurs because there is a significant amount of data for one class, but a lack of data for the other. The financial fraud use case is where we face this problem; this happens because the number of fraudulent transactions that occur on a daily basis is much lower compared to the number of legitimate transaction. Such cases lead to scenerios where the dataset is biased due to the lack of accurate data.
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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.