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Before ML
Applying Machine Learning algorithms and “doing AI” is only a (relatively) small part of the whole process of modern data analysis. As I have mentioned maybe a few times by now, a much bigger part of it all has to do with gathering, cleaning, “munging”, and then understanding and visualizing. Modelling usually cannot happen before…
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Logs Classification using ML (2/2)
Last week we set up the context for today’s entry. Warning: Today’s post is possibly one of the most ambitious I have written in this Blog, in terms of “concepts touched”. It is very practical, and hopefully neither boring nor completely unintelligible. More importantly: It’s about what everyone talks about, “Machine learning”. (It’s hence…
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One step further: MongoDB Backend for our data
Intro I mentioned I meant to use a database at some point for my logs and with R. Well, I will explain a (tiny) bit about that today. But first, what data can I possibly put into my upcoming “NoSQL” database? Well, I now have lots of data. I’ll use the DNS records from my…