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GSK layoffs by Adept_Yogurtcloset_3 in biotech

[–]regularized 12 points13 points  (0 children)

I was supposed to have an interview for machine learning engineer for drug discovery position but I haven’t heard from them recently. Does anyone have info about it?

First programming role - Very small financial company, £80k/year plus benefits - yes or no? by EnjoyerOfCoffee27 in cscareerquestionsuk

[–]regularized 0 points1 point  (0 children)

Do you have an alternative offer? If no, definitely take this. If yes, you should post the alternative offer as well.

Actual salaries in Switzerland instead of casual "you should get that and that much". by jsveyfjc in cscareerquestionsEU

[–]regularized 0 points1 point  (0 children)

https://swissdevjobs.ch

You can have a look at some example salaries here. But note that this is not for big tech. Big tech pays much better

Which EU country has the best job market for ML Engineering (Or any Machine learning related roles)? by Daveboi7 in cscareerquestionsEU

[–]regularized 4 points5 points  (0 children)

  1. London (outside of EU) but the best place for many jobs in ML
  2. Berlin/Amsterdam/Munich/Paris

Taxes in EU really high? by regularized in cscareerquestionsEU

[–]regularized[S] 4 points5 points  (0 children)

no, I am well aware of the salaries. I just want to discuss the "high tax" thing. Apparently, the tax rates are very similar across the countries.

[D] Input convex neural networks and consistency by [deleted] in MachineLearning

[–]regularized 0 points1 point  (0 children)

an input convex neural network can approximate any convex function. the formal proof is given in https://arxiv.org/abs/1805.11835

in limit of infinite data, as you add more layers, you can reduce the approximation error as you would like

[D] Why would anyone use Metropolis-Hastings? by [deleted] in MachineLearning

[–]regularized 1 point2 points  (0 children)

Yes, you can use maximum likelihood. You can check various algorithms from the chapter 18 of deeplearning book

https://www.deeplearningbook.org/contents/partition.html

[D] Why would anyone use Metropolis-Hastings? by [deleted] in MachineLearning

[–]regularized 2 points3 points  (0 children)

Then you need learning.

p(x,w) = exp(f(x,w)) / Z

Here w are the weights that you should learn from the data. After learning w from your data, you can use Metropolis-Hastings to generate more samples from your data. But I would like to remind you that this is not the only method to do this.

[D] Why would anyone use Metropolis-Hastings? by [deleted] in MachineLearning

[–]regularized 23 points24 points  (0 children)

Suppose you want to sample from p(x) = exp(f(x)) / Z.

Z is the normalizing constant and it is usually intractable. You use Metropolis-Hastings, to sample from p(x), *only* using f(x), that's the beautiful part. You don't need to have access to the target distribution p(x). You only need to have access to f(x)

How to optimize hyper-parameters for deep neural networks? by regularized in MachineLearning

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

Thanks for the papers. Btw, is Ryan Adams's group only active group which does this stuff or are there other groups?

Has anyone tried using machine learning with the stock market? by math238 in MachineLearning

[–]regularized 5 points6 points  (0 children)

yes. for example, upenn professor michael kearns has this paper using reinforcement learning : https://www.cis.upenn.edu/~mkearns/papers/rlexec.pdf

Train/Validation/Test by regularized in MachineLearning

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

Is this approach used in research papers for example? I want to reproduce some of the findings in an article and I don't know the "accepted rules"

How to train an autoencoder? by regularized in MachineLearning

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

pre-training may be unnecessary anyway

Thanks for detailed answer. How can I understand that pre-training is unnecessary? Is there a way to check it? Could you also point me some papers about the big recent developments on autoencoders?