sieisteinmodel

34 ms·

1.
by sieisteinmodel 11y ago
How do you establish an exact mapping to sth that is not exact, but only a buzzword term under which different people collect different methods? Well, not that important. It's only important that the buzzword appears in the title!
2.
by sieisteinmodel 11y ago
Well, there is more. E.g. abbreviating deep belief nets with DBM, which is the commonly used acronym for deep boltzmann machines. These are similar, but very different. Calling an RBM an encoder is somehow not far fetched, but there are man
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by sieisteinmodel 11y ago
This has been done since the 90s. The Deepmind paper is about a few more tricks.
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by sieisteinmodel 11y ago
From Wikipedia: > Engineering is the application of scientific, economic, social, and practical knowledge in order to invent, design, build, maintain, research, and improve structures, machines, devices, systems, materials and processes.
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by sieisteinmodel 11y ago
Yes. Also the guy does not seem to be that knowledgeable. He did not get the memo that more input data can lead to worse results; he claims the opposite in a slight variation (i.e. the more precise the input data, the higher the quality of
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by sieisteinmodel 11y ago
I think the difference is that Prolog was aimed to solve all kinds of programming problems. PPs on the other hand is very domain specific from the start.
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by sieisteinmodel 12y ago
e.g. fuzzy logic.
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by sieisteinmodel 12y ago
Give me Mathjax and I'm in.
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by sieisteinmodel 12y ago
FTFY: this was accepted at the nips software engineering workshop. (not the same!)
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by sieisteinmodel 12y ago
> A 'predictive model' should say 'if you do X then you will end up with Y' - and the X cannot be adjusting some number. The X has to be stuff like 'building ETU's in West Africa', or 'canceling al
11.
by sieisteinmodel 12y ago
The problem is that this guy has no clue. - A naive Bayes classifier is not a Bayesian method. It's just using Bayes rule, while Bayesian methods marginalize out the parameters. - Regression and classification are different things. And
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by sieisteinmodel 12y ago
You cannot distribute it with 100% accuracy right now. Given the BMI assumption proves true, you will be. Thus, you can spread copyrighted material. Big difference.
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by sieisteinmodel 12y ago
Don't think so: it would hide the correlations, which are especially interesting.
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by sieisteinmodel 12y ago
I did not even get to that because I could not concentrate.
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by sieisteinmodel 12y ago
Also, A x B is not used for dot product in the math world. That is mostly cross product, and might trigger wrong associations.
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by sieisteinmodel 12y ago
Animated pictures of a Jump'n'Run game make blog posts really hard to read. Might be related to the way human attention works, but well.
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by sieisteinmodel 13y ago
> Brains work probabilistically at least in the sense that the underlying biomechanics have some statistical distribution. No, it's us that use these distribution to model them. Reality might be deterministic after all (no proof o
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by sieisteinmodel 13y ago
Deep learning research cares neither about identifiability nor global minima. Mostly, local minima are good enough to get the "job" done; here job is the task you are trying to solve. In fact, it is easy to show there is an combin
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by sieisteinmodel 13y ago
Whatever the uni. He was working at IDSIA, one of the main contributors to deep learning. Also, his advisor, Markus Hutter, did some serious stuff on AGI.
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by sieisteinmodel 13y ago
Also: aerodynamics is not really hard, anyone can fold paper planes! Or: programming 3D games is easy, just build new levels for an old game! Or: I don't know what I am doing here, but look, this photoshop effect looks really cool on m
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by sieisteinmodel 13y ago
Physics is pretty close to data science. In the end, physics often is about applying the scientific method to sth. Traditionally, sth is "the world", but it's not too different if it's just another set of data.
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by sieisteinmodel 13y ago
> Plus, not a minus. I think the 13" MacBook Air is the best laptop on the market today. Tight integration between hardware and software is key. Sorry? How is a restriction a plus? Can you use a Lenovo with OS X? No. Can you use a M
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by sieisteinmodel 13y ago
Makes it sound as if those things were mutually exclusive. They are not. I don't like the attitude of this article. Good soft skills will not compensate lack of smartness. This might not appear in a job interview (although good intervi