August 2019
Intermediate to advanced
342 pages
9h 35m
English
Content preview from Hands-On Artificial Intelligence for Cybersecurity
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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.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.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.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.
NumPy as an AI building block
Of all the Python libraries dedicated to data science and AI, there is no doubt that NumPy holds a privileged place. Using the functionalities and APIs implemented by NumPy, it is possible to build algorithms and tools for ML from scratch.
Of course, having specialized libraries available for AI (such as the scikit-learn library) accelerates the process of the development of AI and ML tools, but to fully appreciate the advantages deriving from the use of such higher-level libraries, it is useful to understand the building blocks on which they are built. This is why knowledge of the basic concepts of NumPy is helpful in this regard.
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