rsrsrs86

16 ms·

181.
by rsrsrs86 7y ago
What is the use case for erlang given the current container technology and cloud providers? I mean many problems that erlang solved (and beautifully did it) can be dealt with docker and kubernetes
182.
by rsrsrs86 7y ago
Side effects in math!!!!!!!!!!
183.
by rsrsrs86 7y ago
I think pure FP is too alien. I mean any programmer expects a language to have for loops and mutation. That said, I love Haskell and I have endless fun studying and playing with it.
184.
by rsrsrs86 7y ago
Terrible name choice...
185.
Ask HN: How to deploy a random forest model?
2 points by rsrsrs86 7y ago|1 comments
186.
by rsrsrs86 8y ago
Oxymoronic headline. Probably not worth reading
187.
by rsrsrs86 8y ago
This looks very naive and dated already. Basic, undergrad economics textbooks are very simplistic and most discussion is based on models with unique equilibrium and no uncertainty involved. But serious economics is full of results on models
188.
by rsrsrs86 9y ago
You need entropy not length!
189.
Seemingly impossible functional programs(math.andrej.com)
3 points by rsrsrs86 9y ago|0 comments
190.
by rsrsrs86 9y ago
Silly article, functional programming is about purity. All else is a consequence.
191.
by rsrsrs86 9y ago
The difference is that value added taxation changes prices and reduces economic output. Lump sum (fixed) negative taxes (basic income) has no effect on prices making it economically more efficient. Technically sales taxes in companies reduc
192.
by rsrsrs86 9y ago
Yes. It works as a fiscal policy instrument. But the important thing is that it doesn't affect prices. Messing with prices typically causes dead weight. Value added tax can redistribute wealth but has a clear overall economic cost. Lum
193.
by rsrsrs86 9y ago
Communism dismisses markets as an economic resource allocation mechanism. Capitalism is based on markets. Markets provide for economic efficiency. But this can be separated from equity. This is called the first economic welfare theorem or s
194.
by rsrsrs86 9y ago
How much overlap does this have with Kafka?
195.
by rsrsrs86 9y ago
In some problems this is incredible.
196.
by rsrsrs86 9y ago
Consider that vast amounts of capital come from pension funds that invest in companies which have a duty to provide returns to shareholders. Would pension fund stakeholders agree on having lower pensions when they get old so that current wo
197.
by rsrsrs86 9y ago
What he calls back propagation is actually gradient descent.
198.
Ask HN: Do You Use Amazon Machine Learning?
1 points by rsrsrs86 9y ago|0 comments
199.
by rsrsrs86 9y ago
Kaggle competitions are very restricted in the sense that they are supervised learning problems. This typically results in applications in analytics. This should o.k. be easier to get into. But ML can do much more than analytics., and much
200.
by rsrsrs86 9y ago
Well the article builds around a very superficial view of ML. If you want to do simple recommendation systems or spam filters than O.k. Those are solved problems, hence commoditized. If you want to build novel things, you really need academ
201.
by rsrsrs86 9y ago
If you really want to learn machine learning you should pursue a PhD. You might be able to do very simple stuff and follow tutorials because there are very high level tools around, but to really know what's going on and how to use it t
202.
by rsrsrs86 9y ago
It is AI, it is just that not everything called AI is really interesting anymore. This should have attracted interest in the 80's.
203.
by rsrsrs86 9y ago
Yes. You wouldn't need to worry about breaking it down to individual letters, though. Not necessarily. You would need pages and pages of writing from the individuals.
204.
by rsrsrs86 9y ago
This is a canonical AI problem. This is a task usually performed by human beings that was found to be excellently performed by computers. It falls within the grand field of computer vision. It is a solved and trivial problem nowadays, but i
205.
by rsrsrs86 10y ago
In Scala, you mean?
206.
by rsrsrs86 10y ago
Hey, thanks for the example
207.
Ask HN: Themes for a M.Sc. Thesis in Machine Learning/Big Data
1 points by rsrsrs86 10y ago|0 comments
208.
by rsrsrs86 10y ago
Are you just weighing different scores on 2? That would be heuristics more precisely. Not really learning; Unless you update the weights my minimizing some cost function.
209.
by rsrsrs86 10y ago
I'd say describing uncertain process and measures is. If you have a good description you might be able to predict values as well.
210.
Show HN: Dead simple to-do list in Bash(gist.github.com)
2 points by rsrsrs86 10y ago|0 comments

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