ibab

6 ms·

1.
by ibab 6y ago
Yes, you are right to point this out. There are some important details that are still being debated. Personally my impression is that the debate has advanced enough to the point where MWI can’t be outright dismissed based on this argument.
2.
by ibab 6y ago
In the Everett/Many Worlds interpretation the appearance of randomness can be explained as an emergent phenomenon resulting from not being able to predict which part of the wave function we will end up in before running an experiment.
3.
by ibab 7y ago
It has stax, which is a minimal example of how to build a high level library: https://github.com/google/jax/blob/master/jax/experimental/s... It seems that the JAX developers are focusing their
4.
by ibab 7y ago
I really like JAX as well: https://github.com/google/jax . It's younger than PyTorch and TF, but feels cleaner and more expressive. It has a very nice autodiff implementation (based on https://github.com
5.
by ibab 7y ago
Do you also write your own automatic differentiation tools? Using libraries like TF and PyTorch makes sense if you use neural networks because they provide automatic differentiation (who wants to write out their gradients by hand?) and stan
6.
by ibab 9y ago
I don't think that the GP is advocating that we motivate students to study linear algebra by telling them it will make them rich. They were merely saying that this is a nice way to grab student's attention. I really liked it when
7.
by ibab 10y ago
I can recommend the drive command line tool: https://github.com/odeke-em/drive It's also written in Go, but is different from gdrive and skicka in that it has a push/pull workflow that feels similar to using
8.
by ibab 10y ago
Looks like this is a rebranding of the existing Vector app. Here's the blog post from the creators: https://medium.com/@RiotChat/lets-riot-f5b0aa99dc8e#.3toozs7...
9.
by ibab 10y ago
That's a good point, but I suspect that a lot of serious gotchas that a data scientist might encounter in the wild are not taught as part of a graduate-level statistics course. Being able to think critically and quickly adapting to the
10.
by ibab 10y ago
Why should not having a BS in statistics prevent anyone from properly learning and applying statistics in a rigorous scientific fashion? There are a lot of people with a rigorous mathematical background (mathematicians, physicists, biologis
11.
by ibab 10y ago
Great question! There is more to it than you can see in the animation. Because this is a quantum mechanical problem, it's not enough to take into account a single given field configuration at a given point in time, but we have to work
12.
by ibab 11y ago
This is a good question! It's different because if you pass quantum entangled information to the other person, you will be able to cooperate more effectively with them on certain games using that information. It's explained very w
13.
by ibab 11y ago
You have to take into account that quantum processes are governed by a kind of "randomness" that is different from the one in stochastic processes. Scott Aaronson explains the basics of quantum mechanics very succinctly in one of
14.
by ibab 11y ago
XMonad has been my window manager of choice for years now. I especially like that the code is short and easy to understand, so you can easily modify it (or write an extension) if you want. If you don't have previous Haskell experience,