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IWantToRelocate

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thank you! We will use the data for customer segmentation purposes. For that, we will need to transform all the user's sources into a single entity for a given user, for example. And link that entity/user to another table, with their purchases so we can do the customer segmentation. I'm not sure about latency but honestly that's not really important at the moment, I just need to have a strategy to make an end-to-end solution for gathering the data, transform it and delivery a concise and coherent "user table" for the machine learning dude.

You just described exactly what happens to me and that "sleep phobia", I read somewhere, is linked usually to people with anxiety/panic attack issues. Not sure if that's your case but 100% accurate in my case.

there's a guy in my building that 100% of the time he talks about the weather when we met in the elevator. its kinda funny that some people can't deal with silence for a few seconds

being the type of person that need to focus on one task/life, i completely understand you! when I was commited to music production and paid the bills with it, I couldn't focus in any other thing/job. Now since the pandemics started, I had to focus in programming to pay the bills and had to quit music completely.

Thank you! appreciate your reply, honestly. i have an engineering degree but it has nothing to do with computers, so i kinda struggle sometimes. I basically want to get fluent with the metrics/performance when applying ML/NN, when to tweak what, how to improve some stuff, what algorithm works best for some of the problems, etc.

Well, not much. Data isn't the main product where I work for, so I end up just using python libraries for some mundane applications and small datasets (image classification and recommender systems). But I'm the "need to know from scratch" kinda person and I wonder if I should waste my time learning the math behind it or if its useless