Bromskloss

106 ms·

1021.
by Bromskloss 10y ago
I'd love to hear more about those horror stories you mention.
1022.
by Bromskloss 10y ago
What are the fairly obvious flaws?
1023.
by Bromskloss 10y ago
What is the capabilities that a piece of hardware like this needs to have to be suitable for machine learning (and not just one specific machine learning problem)?
1024.
by Bromskloss 10y ago
Implement this!
1025.
by Bromskloss 10y ago
Why does /dev/urandom use up the nice entropy of /dev/random when it doesn't provide any guarantees anyway? Also, do you mean that/dev/urandom should be used even for cryptographic applications?
1026.
by Bromskloss 10y ago
> A source X on n bits is said to have min-entropy at least k if Can a rigorous definition of "source" be found somewhere?
1027.
by Bromskloss 14y ago
Lynx. :-(
1028.
by Bromskloss 14y ago
No! Not _that_ part!
1029.
by Bromskloss 14y ago
A put option for what?
1030.
by Bromskloss 14y ago
I can smell it.
1031.
by Bromskloss 14y ago
As a rather short (9 pages) introduction to Bayesian inference, I remember greatly appreciating an extract from the book "Information Theory, Inference, and Learning Algorithms" by David MacKay. The relevant part is on PDF pages 469 to 477
1032.
by Bromskloss 14y ago
Good-looking web site too! Unless forced to do otherwise, I always use the memoir document class and compile with xelatex. I've found that to be the best way to get access to fancy features. What about you, who do much more advanced stuff,
1033.
by Bromskloss 15y ago
Actually, the main reason I want to do away with Matlab and Octave is that I can't stand the 1-indexing! When voicing that opinion among collegues, I have heard no-one disagree with me. If you are actually stuck with this in Julia as well,