Black Swans


18 points

Hey. I work for a sports betting company, and am starting to make some models of my own to predict tennis matches. 🎾


Great idea - count me in!

Which GPU to Get for Deep Learning?


I recently stumbled across a brilliant article explaining why you should invest in a GPU for training deep learning models and which one you should get.

I thought I'd share it here for those who are interested!

Hope you find it useful!

Which normality test is most powerful?


As part of some research, I have to test whether a sample of observations is normally distributed. I've read about the Kolmogorov-Smirnov test, Jarque-Bera test and the chi-square test. Which of these (or another) is most powerful?


Very interesting thoughts David. I'd also highly recommend both of these TED talks, especially the second by CΓ©dric Villani! Very inspiring.

Has Anybody Built a Neural Network to Predict Pool 🎱 Matches?


This is a bit random 🀣, but I was wondering whether anybody on the site had ever used a neural network to predict pool or snooker matches? I'm trying to implement something myself, and am looking some advice.


Here's my pythonic way of doing it:

  1. Create a list of 5 foxes and 7 hounds (i.e., [FFFFFHHHHHHH]) and randomly shuffle it.
  2. For each letter in the shuffled list, check whether it is an F followed by an H. If it is, add $1$ to a variable called successes.
  3. Repeat this process $1000$ times.
  4. Divide successes by $1000$ to get the average, which is approximately $2.91$ foxes are followed by a hound.

Thank you so much. This is such a great explanation! I hadn't even heard of the central limit theorem before now - it's a pretty amazing result. It baffles me how you'd go about proving something like that.

Why does the normal distribution crop up everywhere?


I haven't done much statistics up till now, but it seems like the normal distribution πŸ”” is used all the time. Why is this? Is it for simplicity, or because it often provides a good fit for the problem?


I can't understand why it isn't just $n=2$ 😣😣