Is scikit widely used out there? I'm newer in the data science and ML space, and I have a good amount of XP with pandas, numpy, scikit, and more. As a senior security engineer, I am to combine cybersecurity with ML. If anyone can share their perspective on this, they'd be nice. I will be diving into pytorch starting next year, specifically skorch since it combines both.

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You don’t see a lot of custom dev in cyber.

It’s mostly commercial vendors, like Crowdstrike, Okta, Palo Alto, Fortinet, Splunk, etc. etc.

Everybody has the same security challenges. Why build when you can buy?

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I don't work in infosec, but have a baseline understanding of the space. For scanning packets, sklearn will be too slow. For stuff that can run in batches, you're fine to use it. If your data is massive, you may also want to consider what spark infra your company/client has, but only if the naive solution with sklearn turns out to be too slow for it. Lastly don't forget your data prep isn't free... sec work relies a lot on graph features, which can be compute heavy to derive.

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Scikit is still widely used in data analysis and data science

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