August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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Summary
We have learned how to develop a predictive model for credit card fraud detection, exploiting the IBM Cloud platform with IBM Watson Studio.
By leveraging the IBM Cloud platform, we have also learned how to address the issues related to the presence of unbalanced and non-stationary data within the dataset concerning credit card transactions and made full use of ensemble learning and data sampling techniques.
In the next chapter, we will delve deep into generative adversarial networks (GANs).
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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.