niksmather

3 ms·

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by niksmather 2mo ago
I would also say Axler is much better prep for higher level applied math, as well as pure. If you are interested in how the big ideas of linear algebra extend to things like Fourier analysis it's very helpful to see the more abstract e
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Show HN: Lefts – a domain specific language for building creative ML models(nsmat.github.io)
6 points by niksmather 2mo ago|0 comments
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by niksmather 3mo ago
So cool! Really looking forward to playing around with this. It was also a great little explainer of how these tilings get made. One question: how do you guarantee/prove that the tiling you get back from the grid is quasiperiodic?
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by niksmather 3mo ago
Pesticides are bad for bees, but Varroa is too. Until Varroa arrived in Australia the bees there didn't suffer from colony collapse, despite high pesticide use.
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by niksmather 3mo ago
That's true of all statistical models, it's not some magic property of neural networks.
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by niksmather 3mo ago
Great stuff - I really hope you manage to scale this up!
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by niksmather 4mo ago
I can see the mathematical results are interesting, I was more wondering if there was a practical utility to this TreeFlow thing they built.
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by niksmather 4mo ago
Apologies if I didn't understand the paper, but why do you want to apply diffusion models to tabular datasets in the first place? Do we think they'll be better than decision trees? Is there some tabular problem that can be handled
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by niksmather 5mo ago
Do neural networks work better than other models? They can definitely model a wider class of problems than traditional ML models (images being the canonical example). However, I thought where a like for like comparison was possible they ten