August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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Embracing big data analytics in fraud detection
The traditional ETL solutions that are commonly adopted by organizations, which make use of data architectures based on relational databases and data warehouses, are undoubtedly adequate to perform reports according to descriptive analytics BI reporting) but not to manage large amounts of data following a data-driven approach, which is typical of predictive analytics.
Therefore, it is necessary to adopt data architectures that allow the achievement of processing scalability through the use of functional programming paradigms (such as MapReduce, NoSQL primitives, and so on).
It is possible to exploit the techniques of big data analytics and combine them with ML and data mining algorithms in order ...
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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.