December 2018
Intermediate to advanced
318 pages
8h 28m
English
Content preview from Hands-On Machine Learning for Cybersecurity
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Machine learning to detect financial fraud
Machine learning helps us flag or predict fraud based on historical data. The most common method for fraud-detection is classification. For a classification problem, a set of data is mapped to a subset based on the category it belongs to. The training set helps to determine to which subset a dataset belongs. These subsets are often known as classes:
In cases of fraudulent transactions, the classification between legitimate and non-legitimate transactions is determined by the following parameters:
- The amount of the transaction
- The merchant where the transaction is made
- The location where the transaction ...
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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.