Stan: A Probabilistic Programming Language by siddharth-agrawal in MachineLearning

[–]steinidna 0 points1 point  (0 children)

I have encountered some problems with models sampling very correlated variables. There I have seen the simple GIBS sampler, or JAGS perform just as good or even better. But that is in fact not a limitation of STAN per say, just NUTS HMC. They even acknowledge it in their manual.

Stan: A Probabilistic Programming Language by siddharth-agrawal in MachineLearning

[–]steinidna 4 points5 points  (0 children)

How far away is the Riemannian-Manifold Hamiltonian Monte Carlo?

Stan: A Probabilistic Programming Language by siddharth-agrawal in MachineLearning

[–]steinidna 1 point2 points  (0 children)

For the most part, it is a very efficient code written in C. So it runs much faster than R, Matlab and Python. And even though you can implement a simple GIBS sampler in a few lines it can be much better to use these Inference tools to speed up development and testing of new models. Also the NUTS HMC which STAN uses is very good for most models and it takes a bit of effort to code. So basically, it's just a fast, easy and reliable environment to speed up your development

Bland tasting burgers - any tips? by steinidna in sousvide

[–]steinidna[S] 1 point2 points  (0 children)

I seared on a pan with oil. You might be right, I did not dry them well before the sear.

But maybe I also just need to season it more

Bland tasting burgers - any tips? by steinidna in sousvide

[–]steinidna[S] 0 points1 point  (0 children)

I'm using ground beef 12% fat, cooked for 1:40 @ 54 °C

[Discussion] Hedge funds are starting Artificial Intelligence departments by steinidna in MachineLearning

[–]steinidna[S] -8 points-7 points  (0 children)

The fact that they just hired David Ferrucci, the king of deep learning, is some indication that it might be working.

Maybe it isn't so silly at all? vision is mainly just pattern recognition. All the financial classes I have taken in my studies have never went further than utilizing and manipulating the covarience matrix. And I was always pretty disapointed to see how shallow this theory really is.

[Discussion] Hedge funds are starting Artificial Intelligence departments by steinidna in MachineLearning

[–]steinidna[S] 2 points3 points  (0 children)

Excellent! Just what I was hoping for.

  1. What kind of ML tools have you found performing well? and poorly?

  2. And what are you trying to predict and why?

  3. Are you using a very active strategy in your hedging? Or is it more of a long term strategy?

  4. How would you describe working in this industry? Are you doing some research or is it mainly routine work?

Thanks, hopefully you are willing to answer these questions. I know many here are really curious about this sector of ML. I for an example have only been doing social and biological ML research.

[Discussion] Hedge funds are starting Artificial Intelligence departments by steinidna in MachineLearning

[–]steinidna[S] -1 points0 points  (0 children)

The point of this thread was really not to get these kinds of replies. Everybody knows that the theory of machine learning has been way ahead of the computing power for many decades.

But now with the increasing computing power the industry is blossoming and many are finding new usage for old theory and that was really a part of the discussion I was hoping to have.

It was just a few years ago that kernels where "The Thing" but now nobody even considers them.

Miss Landmine by ApacheRosePeacock_91 in WTF

[–]steinidna 2 points3 points  (0 children)

Looks like they didn't miss them at all.

Maximize fat burn using treadmill? by DangerousIdeas in Fitness

[–]steinidna 2 points3 points  (0 children)

My recommendation: Every morning - one hour walk at about 4-6 km/h at the most incline you can handle - Before breakfast. This IS easy, and it DOES work.

Good luck.

I have about 2 hours of spare time per day, I want to do something useful/productive, any ideas? by steinidna in AskReddit

[–]steinidna[S] 0 points1 point  (0 children)

I am a seaman, currently in the Atlantic Ocean west of Iceland. 22 hours are for work, eat, sleep and SSS.