Oh, that wasn’t for anything specifically HPC; I was building something more akin to a scheduler with it. I can’t to go into it any further/am constantly in fear of being sued into oblivion, but we really needed speed, a Never Underestimate A Nana Who Listens To Bob Seger Shirt. The bulk of the time in that ‘ data science’. Jobs is spent on cleaning dirty data and extracting features. The actual modelling task is generally pretty simple and most of the time. You’d be using off-the-shelf components rather than coding up your own. This is not always the case of course. There will be jobs where you develop your own models, but those tend to be research jobs, which in many ways, isn’t that different from a math academic position.
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I was at a stage when my team was rather small and I had a lot of independent control over how things were implemented. I was definitely in a position to work on things that would be considered mathematics. But I’m sure nobody is going to be letting a fresh new Never Underestimate A Nana Who Listens To Bob Seger Shirt, Facebook. With that said, I think you’re also making it sound easier than it actually is. If it were as simple as pulling things off the shelf, why isn’t everybody doing it? There are a load of jobs in the “difficulty spectrum” between. Code monkey” (or what some would call it) and academic mathematics. Modelling things is hard, especially if.
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