fjkdlsjflkds

7 ms·

31.
by fjkdlsjflkds 2y ago
> their sanctions list Can't seem to find their sanctions list. Is it this: https://en.wikipedia.org/wiki/Slogan_of_the_Houthi_movement ?
32.
by fjkdlsjflkds 2y ago
Sure. But if someone is using, for example, a notched boxplot to quickly evaluate differences in medians (i.e., they know how to correctly interpret a boxplot), it can still be a useful plot that conveys specific information that you would
33.
by fjkdlsjflkds 2y ago
Note that "not knowing how to correctly interpret a boxplot" is not equivalent to "boxplots are useless".
34.
by fjkdlsjflkds 2y ago
> In fact all forms of rebellion can be spun as terrorism. Sure. But not all forms of rebellion (or state violence) are terrorism. If rebels (or the state in question) are focused on attacking and killing enemy combatants, it's no
35.
by fjkdlsjflkds 2y ago
A quick comment: The idea seems interesting/entertaining, but the requirement to login with a Google account will make some people (like me) simply not even try it.
36.
by fjkdlsjflkds 2y ago
Makes sense to protest and raise hell before you get fired (or quit), in such a context, yes. What doesn't make much sense is to act surprised and complain that you got fired afterwards. Getting fired is exactly what one would expect w
37.
by fjkdlsjflkds 3y ago
Yup, for pea protein concentrates obtained by dry fractionation (arguably a slighly more complicated processing process than "just dried peas in a blender").
38.
by fjkdlsjflkds 3y ago
> Pardon, but where's the ultra processing? Isn't pea protein just dried peas in a blender? Obviously not. Protein meal contains 20 to 25% protein, while pea protein concentrates/isolates have more than 80% protein. For mo
39.
by fjkdlsjflkds 3y ago
I'll just leave a final comment: if you restrict yourself to the arithmetic mean, then you can use Cantelli's inequality to make some claims about the distance between the expectation and the median of a random variable in a way t
40.
by fjkdlsjflkds 3y ago
I was not aware you were the author. I apologize if anything in my delivery came across as harsh. I would just suggest considering whether the " any (sample) average is a rough approximation of the (population) median" is a nece
41.
by fjkdlsjflkds 3y ago
> I don't have a computer at hand, but if you bootstrap from that population, in how many cases are the XmR limits violated? If it's more than, say, 15 %, I would not consider that distribution stable in the SPC sense, and thus
42.
by fjkdlsjflkds 3y ago
Oh. I didn't understand that "roughly" was supposed to be doing all the work, in this context. I guess a 30/70 split is also "roughly" a 50/50 split, right? Example: > cat(paste0(data,collapse=",&q
43.
by fjkdlsjflkds 3y ago
Ok. So, let's try again... First, let's draw some data and show that the sample mean is not roughly close to the sample median: > data <- asinh(exp(rnorm(30))) > mean(data) [1] 1.227973 > median(data) [1] 1.059046 &g
44.
by fjkdlsjflkds 3y ago
> the operational definition of no measurements outside of 2.66 times the mean consecutive difference between observations Not even a simple Gaussian distribution can hold up to this standard of "stability" (unless I understo
45.
by fjkdlsjflkds 3y ago
Well... what do you mean by "a stable process" in this context? Let's try repeating the same example, but now drawing samples from a fixed distribution (in this case, a log-normal distribution): > data <- exp(rnorm(100)
46.
by fjkdlsjflkds 3y ago
I stopped reading at this point: > Roughly half of your measurements will be above average, and the other half below it. This is simply not true for most definitions of "average" (i.e., for all definitions of "average&qu
47.
by fjkdlsjflkds 3y ago
...but then the algorithmic complexity goes from O(N) to O(N^2), or at least O(N log N), since points have to interact with each other. (N denotes the number of points you need to generate)
48.
by fjkdlsjflkds 3y ago
> I don't actually know of any useful algorithms with worse asymptomatic behaviour. Note: "asymptomatic" does not mean the same as "asymptotic"
49.
by fjkdlsjflkds 3y ago
Thanks for repeating this. Seems like most people fail to understand that LLMs (as they are implemented these days) are markov chains by definition , regardless of how much "better" they are compared to "Dissociated Press&qu
50.
by fjkdlsjflkds 3y ago
> That's expected when you realize that time and space are not different things [...] The only thing separating them is a sign which in turn is based purely on convention. The fact that spatial and temporal dimensions require diffe
51.
by fjkdlsjflkds 3y ago
My favorite part is that there is no such thing as a "spectogram" (I assume they mean a "spectrogram"). The whole thing is hilariously bad :) love it.
52.
by fjkdlsjflkds 3y ago
> no calculus "set each pixel’s brightness to be the average brightness of the immediately adjacent pixels" sounds like a convolution ;)
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by fjkdlsjflkds 3y ago
Just because you can have a robot/machine that can efficiently churn out 1000 frozen lasagnas a second doesn't necessarily mean that italian restaurants have been "outcompeted" or "left behind" by not using suc
54.
by fjkdlsjflkds 3y ago
> We're probably actually interested in something like an upper quantile for planning purposes. True. But a conditional quantile is much harder to accurately estimate from data than a conditional expectation (particularly if you are
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by fjkdlsjflkds 3y ago
> Not knowing what the "uncertainty interval" represents (is it, loosely speaking, an expectation about a mean/true value or about the distribution of unobserved values?) could be even more dangerous, in theory, than using
56.
by fjkdlsjflkds 3y ago
> I don't use R (I assume this is R) Just to clarify... this is Python code, not R.
57.
by fjkdlsjflkds 3y ago
No... a graph convolution is just a convolution (over a graph, like all convolutions). The difference from a "normal" convolution is that you can consider arbitrary connectivity of the graph (rather than the usual connectivity ind
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by fjkdlsjflkds 3y ago
The reason why the arsinh transformation is useful (and this is not mentioned in the link you posted) is that it is the optimal variance-stabilizing transformation [1] under the assumption that your data is contaminated by a mixture of addi
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by fjkdlsjflkds 3y ago
"Branco ou tinto, é o mesmo: é para vomitar." - Álvaro de Campos (i.e., Fernando Pessoa)
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by fjkdlsjflkds 3y ago
> If you get a model running in Python, and decide you want to be able to run the code via an API, put it behind Flask and ta-da!, now it's a network service. You could say the same about a model (or any function) running in R. Want

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