jamez1

15 ms·

31.
by jamez1 7y ago
It just appears to apply VaR to failure rates, which is hardly a 'wall street secret'. The authors also completely misunderstand how VaR works - it is the minimum value at risk, not the maximum. Value at Risk (VaR) [33] captures
32.
by jamez1 7y ago
Paper available here: https://people.csail.mit.edu/ghobadi/papers/teavar_sigcomm_2...
33.
by jamez1 7y ago
So what does the software look like up until those 'annual cycles'? It's pretty clear from the economic incentives of the companies producing the software, the sheer quantity of exploits found, and the surprisingly low amount
34.
by jamez1 7y ago
This is a restriction on physical cash, there is no mention of electronic cash let alone cryptocurrency.
35.
by jamez1 7y ago
Maybe you've got a bad BGP route?
36.
by jamez1 8y ago
How exactly do we know children with some form of mental deficiency don't spend more time in front of a screen?
37.
by jamez1 8y ago
Often the operating business is floated and the vendors keep the buildings, this is nothing new and much more endemic than appears. You're only just seeing an article on this behavior because a high profile tech company is doing it rat
38.
by jamez1 8y ago
Highly recommend this book for anyone interested in this line of thinking: How mathematicians think William P. Byers
39.
by jamez1 8y ago
It's proof that the process of research in climate science has large flaws, much like the other social sciences. Given they still do things the same way, why would you expect this time it's different?
40.
by jamez1 8y ago
This is nothing new, most funds treat portfolio construction as an optimization problem, where the objective function is some risk over return metric. "The Machine" is an optimizer, all they've done is build one that looks at
41.
by jamez1 8y ago
That's interesting, thanks for the links. I have mucked around with program induction using expression trees but had not come across MIL before. It looks like MIL would generalize quite well to bayesian networks, a perfect bridge betwe
42.
by jamez1 8y ago
I am making an inference here, but I imagine his complaint is with the lack of ability to derive A and B in your "If A, then B" example. His goal is to have a program that would have a model of reality and be able to postulate dif
43.
by jamez1 9y ago
Some stats: Taxify has had 130k downloads in the last 4 months. Ola is at 24k for about 1 month. Far cry from Uber which does that in almost 2 days
44.
by jamez1 9y ago
It's about information entropy, you want to maximize the information each character has. using 1000 digits to show what you could in 500 and a header saying "(in thousands)" maximizes the entropy
45.
by jamez1 9y ago
They pay them more for waiting, effectively moving the working capital up the supply chain where it accumulates to where it can be used.
46.
by jamez1 9y ago
What framework handles the primary key data type for you? And what frameworks in general do you think were any good in the year 2000
47.
by jamez1 9y ago
Having a distributed money supply makes it unstable, since you've tied an incentive to creating bitcoin. Money supply would then be equal to how many miners there are without adding a difficulty, and the amount of bitcoins would go thr
48.
by jamez1 9y ago
High electricity consumption is the trade bitcoin made in its design for a stable money supply, it's not an inherent problem with cryptocurrency.
49.
by jamez1 9y ago
Make sure you load up on mathematics, in both pure and applied. Try to find work where you'll either be immersed in statistical models or have the freedom to experiment with them. Capital markets such as equities trading will probably
50.
by jamez1 9y ago
What does the number of publications have to do with anything? One paper can change an entire field, while another hundred could be just filler non-sense to get a PhD with.
51.
by jamez1 9y ago
Congratulations on your project Oliver. How far off do you think it is from a regulatory perspective before you can have the cars drive without anybody sitting in them?
52.
by jamez1 9y ago
That's 1000 cases when we restrict children from taking aspirin, it could be a lot more once we let them
53.
by jamez1 9y ago
This isn't about eigenvectors in general, it's about a single eigenvector that Google built. The title is accurate, their search product is giving you access to query the eigenvector
54.
by jamez1 9y ago
> Worse, NHST is often taken to mean that any data can be used to decide between two inverse claims: either ‘an effect’ that posits a relationship between, say, a treatment and an outcome (typically the favoured hypothesis) or ‘no effect
55.
by jamez1 9y ago
It's a great theory but how do you know that education causes lower fertility, and isn't just correlated to lower fertility? I'd wager getting out poverty causes both education and fertility to improve and that is the real dr
56.
by jamez1 9y ago
It states that they create a hash server side, why couldn't that happen client-side? > it's not implemented in Javascript. They can implement it. Hell half the readers on this blog could implement it..
57.
by jamez1 9y ago
Imagine you are a climate scientist, and your mission is to save the world by working out how we are hurting it. You constantly run and re-try computer models until you find one that you can publish. After 1000 different models you build on
58.
by jamez1 9y ago
It depends what your null hypothesis is. Your contrarian friends only need one piece of evidence to disprove the climate catastrophe narrative. Whilst you've taken the worst case as your default assumption, which is why their train of
59.
by jamez1 9y ago
When you start to enter the realm of modelling, especially of complex systems with feedback loops, you aren't really conducting science any more. Unfortunately the brand of science is used to promote these models, which is disingenuous
60.
by jamez1 9y ago
> At the time, its small group of practitioners thought it might be an alternative to the more conventional ANN training algorithm called backpropagation (a form of stochastic gradient descent). The author doesn't seem to understand

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