steppi

9 ms·

31.
by steppi 3y ago
I think even timbre matters. I got a 95% match singing the first verse of Smells Like Teen Spirit using vocal fry to add some rasp, but couldn’t get over 80% singing in an unaffected soft head voice, though I got a 79% match for a cover by
32.
by steppi 3y ago
Very cool. I tried it humming the choruses from the batch of my own songs I’m working on at the moment to see if I might have committed unconscious plagiarism. There were no close matches and I was feeling pretty good. Than I hummed the cho
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by steppi 3y ago
Largely, it seems top modern researchers are able to free themselves from many of the perverse incentives of the academic game. You might be surprised how many who have not reached such a level also value simplicity, but simply must play th
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by steppi 3y ago
Oliver Byrne’s 1847 edition of the elements did have colored designs [0]. This website features a digitization of Byrne’s book and defaults to the text as it appears in the original. [0] https://maa.org/press/periodical
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by steppi 3y ago
Agreed that this is pretty terse. The sequences they're talking about are called Cauchy sequences [0]. A sequence a_i is Cauchy if for any epsilon, there exists an N such that if m and n are both greater than N, then |a_m - a_n| < e
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by steppi 3y ago
My apologies for the ambiguity; I assumed it would be clear from context. The article at the link, https://saturncloud.io/blog/what-is-the-random-seed-on-svm-s... , is incorrect. Whoever wrote it seems to have confused
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by steppi 3y ago
The soft-margin SVM which can handle misclassifications is also convex and has a unique global optimum [0]. [0] https://stackoverflow.com/a/12610455/992102
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by steppi 3y ago
The article you’ve linked is incorrect. As Dr_Birdbrain said, fitting an SVM is a convex problem with unique global optimum. sklearn.SVC relies on libsvm which initializes the weights to 0 [0]. The random state is only used to shuffle the d
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by steppi 3y ago
I’m with you on the inefficiency of wide-scale at home solar and your three list items but don’t understand the connection to the Great Leap Forward unless you’re just saying they’re both bad and involved (or would likely involve) ill-calcu
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by steppi 3y ago
While a college student, Murdock founded the Debian project in August 1993, and wrote the Debian Manifesto in January 1994. Murdock conceived Debian as a Linux distribution that embraced open design, contributions, and support from the fre
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by steppi 3y ago
Tao’s advice is characteristically excellent but I think Eugenia Cheng’s advice (not just the article title but as a whole) is actionable, just not so much for someone who is ready for specific advice like Tao’s. Her message seems to be tar
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by steppi 3y ago
It hasn’t been nearly so long for me, but I’ve managed to hold on to much of the math I’ve learned by re-proving theorems I’d learned and solving problems in my head during downtime, while doing household chores, and while falling asleep. A
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by steppi 3y ago
I don't think things are quite as dire as that. I have experience as a machine learning scientist, have actually never worked on the kinds of papers you're talking about, but have helped apply machine learning to scientific proble
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by steppi 3y ago
In undergrad I took a graduate class out of Calculus of Variations by Gelfand and Fomin [0] that went deep into the math of classical mechanics but assumed students already knew the relevant physics. I hadn't taken a proper classical
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by steppi 3y ago
I did some old school NLP before, but don’t really work in the field anymore. As a generative model. As a general purpose generative model, maybe this isn’t very useful. As a foundation to make models to perform text classification and info
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by steppi 3y ago
Replying because I can no longer edit. A * got gobbled. The factor should be factor(x) = ((x + lanczos_g - 0.5)/e)**(x - 0.5).
47.
by steppi 3y ago
I work on numerical evaluation of special functions. Fyi, typically a better way to evaluate Gamma ratios is to use the Lanczos approximation. See the Boost math documentation [0] for good explanation of the problems with calculating n! &#x
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by steppi 3y ago
Yeah, industrial alcohols were (and still are) "denatured" with additives to make them toxic or unpalatable and industrial alcohol was often used as a precursor for bootleg spirits during prohibition. I think modern denaturants le
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by steppi 3y ago
Not that ethanol isn't also neurotoxic (to a much lesser degree), but bootleg moonshines common during prohibition often contained trace amounts of methanol, the number of people irreversibly injured by methanol poisoning greatly excee
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by steppi 3y ago
Possibly, but I struggle to reason about Bayesian nets at that scale. I think the level at which a Bayesian net could “know what it doesn’t know” would be regarding uncertainty in what text to generate in a given context, not whether or not
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by steppi 3y ago
I’m not sure if you are aware, but Bayesian neural networks can be actually be well approximated by appropriate ensembles of standard neural networks [0]. The strength of Bayesian nets (including the approximating ensembles) is that they ar
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by steppi 3y ago
Borges’ depth of knowledge of philosophy and mathematics far exceeded what would have been covered in the BA he received in 1914. He was an autodidact who quietly studied a great deal of topics [0]. Beyond being an educated man of his time,
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by steppi 3y ago
Something I find fascinating is that many of Borges’ stories demonstrate a solid grasp of fairly advanced mathematics of his time [0] but he had little formal education. I like to try imagine the work he must have put in to attain this know
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by steppi 3y ago
Yeah. I'm going to be helping to work on expanding CI for OpenBLAS and have been diving into this stuff lately. See the discussion in this closed OpenBLAS issue gh-1968 [0] for instance. OpenBLAS’s Skylake kernels do rely heavily on in
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by steppi 3y ago
Another example is writing hand optimized matrix and vector operation routines tailored to specific hardware for BLAS libraries [0]. [0] https://en.m.wikipedia.org/wiki/Basic_Linear_Algebra_Subprog...
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by steppi 3y ago
This is a really cool little example. I've been teaching myself assembly recently and have found Learn to Program with Assembly (2021) [0] by Johnathan Bartlett to be really valuable. I had initially looked through his freely availab
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by steppi 3y ago
It's not one book, but for everything before calculus it would be difficult to beat the books in Israel Gelfand's High School Mathematics Correspondence Curriculum [0]. These are designed for self study and give a fresh perspectiv
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by steppi 3y ago
Amazing. Reading more carefully, as FabHK pointed out above, they aren't even applying the obvious correction. They're just reporting the positive rate of the imperfect test. I've implemented Diggle's method [0]. When I
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by steppi 3y ago
I've worked on research estimating prevalence from imperfect tests, and something that concerns me about this study is that they aren't showing the error bars for their estimates. Typically, you would report a confidence interval
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by steppi 3y ago
I get it, but I see so many possibilities here. Fitter Happier and Climbing up the Walls have string arrangements performed by an orchestra. Can you imagine writing a score and spinning up a virtual orchestra to play it? There are so many s

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