August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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Assessing model quality
We have emphasized the importance of data over algorithms, and we have seen which strategies to follow in the data quality process.
Once we are sure that the data is reliable and complete, we must feed it to the algorithms selected for the implementation of our AI solutions, submitting the results obtained to the model quality process.
The model quality process involves all the phases of algorithm deployment.
In fact, it is essential to monitor the performance of our algorithms, in order to constantly perform the fine tuning of the hyperparameters.
By hyperparameters, we mean all the parameters that the algorithm receives from the outside (that is, parameters that are not set or updated in consequence of the learning ...
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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.