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laughy
searching Neon…
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1.
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by
laughy
3y ago
The one I use is slightly more advanced, can't copy it for some strange reason, but I use a service that checks for a valid domain first
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by
laughy
3y ago
A better alternative is to assume t-distributed errors
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laughy
3y ago
This suggests that the effective number of parameters is far lower than the nominal number. My head canon for neural networks as overparametrized models still holds.
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by
laughy
3y ago
Very cool! Found this from 9 years ago, deprecated now however. https://news.ycombinator.com/item?id=8304409
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by
laughy
4y ago
I have a custom written function in R that loads in .Rprofile to push messages e.g. when some script is done.
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by
laughy
4y ago
The latest research suggests Linear A and Linear B is the same script, but used for different languages analogous to how the Latin script is both used for say English and Polish, but with language specific adjustments.
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by
laughy
4y ago
I have applied it to the names in a population database. It learnt interesting, and expected structure. Visualized with UMAP it clustered by gender first, and then something that probably could be described as cultural origin of name.
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by
laughy
4y ago
There is also the tidytable package. But dtplyr works really well. Have used it in a couple of shiny apps that wrangle some heavy input files.
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by
laughy
4y ago
Put it here as well https://archive.ph/yuQyu