What’s the purpose of mathematical modeling? « Statistical Modeling, Causal Inference, and Social Science
Scientists — not just in epidemiology, but in physics, ecology, climatology, economics and every other field — don’t build models as oracles of the future. For them, a model “is just a way of understanding a particular process or a particular question we’re interested in,” Kucharski said, “and working through the logical implications of our assumptions.
Not just a cool scientific advance, but a very cool explanation of a new technique. For that matter, a lovely explanation of matrix multiplication for the non-mathematician.
New Algorithm Breaks Speed Limit for Solving Linear Equations By harnessing randomness, a new algorithm achieves a fundamentally novel — and faster — way of performing one of the most basic computations in math and computer science.
Quanta Magazine quantamagazine.orgquantamagazine.org https://www.quantamagazine.org/new-algorithm-breaks-speed-limit-for-solving-linear-equations-20210308/
I followed and modified the instructions here. This was much easier than trying to make do with the readme.
The key insight here is that you need to leave something running in the foreground.
How do I keep Docker containers running in the background? If you would like to keep your container running in detached mode, you need to run something in the foreground. An easy way to do this is to tail the /dev/null device as the CMD or ENTRYPOINT command of your Docker image.
50 Years of Data Science: Journal of Computational and Graphical Statistics: Vol 26, No 4:
This paper is a great find. Not the least because the argument (statistics versus data science) was already in full swing 50 years ago.
I have no problem with predictive modelling, but it is a different task. And it does seem that the emphasis on ML has obscured the value (in a pendulum swing from the days of Tukey) on importance of understanding the generative model.
