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jph00
searching PlanetScale…
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42 ms
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541.
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by
jph00
7y ago
Yes you're right, in our NLP course we used Turkish as our example. But for the book I mentioned Polish due to this paper: https://arxiv.org/abs/1810.10222 . But as you say, now the word "agglutinative"
542.
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jph00
7y ago
No, the readme says you can make copies for personal use. If you want to use code in the book under a non GPL license, then you could just buy the book when it comes out. That doesn't seem like an unreasonable burden. PS: none of thi
543.
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jph00
7y ago
I can't seem to find a reliable source for this quote though. Anyone know of one?
544.
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jph00
7y ago
Even the creator of Python says "Black is good for large projects, but I find it uglifies all code compared to manually formatting..."
545.
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jph00
7y ago
It's certainly unpythonic - as the link explains, it's based on research that goes back many more decades than Python has existed, and that PEP 8 entirely ignored. But it only makes the code unreadable if you don't make a tin
546.
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jph00
7y ago
Yeah it was a conscious decision, but it's certainly not the only "one right way". I saw when Keras had an API freeze a few years ago, and thought that it didn't really make sense to me when the field is changing so much
547.
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jph00
7y ago
FYI, I also created an HTML version of the paper, which is much easier to read on mobile, and probably easier on a computer too if you're not printing it out: https://www.fast.ai/2020/02/13/fastai-A-Layer
548.
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jph00
7y ago
Oh btw if you don't have time to read the paper, I've summarized some key bits here: https://mobile.twitter.com/jeremyphoward/status/122797513809...
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jph00
7y ago
Nice to see our paper on HN! FYI the paper covers v2, which is a from-scratch rewrite that introduces a new layered API. There are quite a few comments here pointing out (quite correctly!) that v1 was not at all easy to hack on. We've
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Announcing TCMalloc
(abseil.io)
1 points
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jph00
7y ago
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0 comments
551.
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jph00
7y ago
You seem to have missed the entire point of the hundreds of hours of lessons provided by fast.ai, as a service to the community(+), which is this: to explain, and be able to re-implement from scratch, all the things that make those 5 lines
552.
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jph00
7y ago
BTW, one thing which makes it a bit hard to get into self-supervised learning is that the most common benchmarking task involves pretraining on Imagenet, which is too slow and expensive for development. I recently created a little dataset t
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jph00
7y ago
There's a lot to like in this article, but I don't quite agree with the setup. I think it's better to think of "contrastive" approaches as being orthogonal to basic self-supervised learning methods - they represent
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jph00
7y ago
nbdev deals with the version control and library of code issues pretty effectively.
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jph00
7y ago
I would be delighted. I've even spoken to the Julia core team about it. Hopefully one day they'll make that happen! (Just like we developed SwiftAI thanks to support from Chris Lattner and the s4tf team).
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jph00
7y ago
Probably easiest is to use Colab, which supports Swift directly. Otherwise, use one of the approaches shown on the course site: https://course.fast.ai/ (Most data scientists on Windows, including me, use SSH to connect to a
557.
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jph00
7y ago
I didn't misread - I was agreeing with you! :) And disagreeing with the person you were responding to.
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jph00
7y ago
Most people I know that understand s4tf well (including me) are excited about it. Chris Lattner and I co-taught two video lessons on it - have a look at those and see what you think: https://course.fast.ai/videos/?lesso
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jph00
7y ago
There are medium sized teams at Google for each of MLIR and s4tf. There's a weekly open design meeting for each of them. Many different folks have presented their work at both meetings.
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jph00
7y ago
Feels like we're talking about 2 totally different machines - I'm using one right now, and always use it or a Surface Pro 7, and I couldn't be happier. I use one of them on my lap 95% of the time (I generally work from a recl
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jph00
7y ago
Following the money is an excellent plan! I haven't heard anything about defined-benefit pension plans, or their use in professional societies. Could you say a bit more? Or provide a link to learn more?
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jph00
7y ago
Thank you for the correction. IEEE's $193m is where we should focus our attention, when it comes to this expense line.
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jph00
7y ago
Another asset they have (and monetize) is a vast library of old papers. For instance, if you want to read Kildall's 1973 classic "A unified approach to global program optimization" then ACM will gladly let you do so... after
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jph00
7y ago
I wrote this tweet. Wasn't sure anyone would read it - glad it's got noticed, because I do think it's an important issue! I'd love to know where that money at IEEE and ACM is going. The annual reports don't make it
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jph00
7y ago
They don't pay for peer review. I'm not sure you mean by "professionally managed" or "edited" exactly - or why that would cost over $100m. (Disclaimer: I wrote the tweet. Although I didn't expect it to app
566.
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jph00
7y ago
> Is math a problem for non-academic researchers? It takes a while to figure out how to read academic papers, but it's largely about learning the notation. In the end, it maps back to the code you write anyway in most cases, so it&#
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jph00
7y ago
> Critical and technical literature needs to be held to a standard. That's a sloppy statement. You haven't defined what standard. Clearly, everything is held to "a standard"; making that an entirely empty claim. >
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Data Project Checklist
(fast.ai)
2 points
by
jph00
7y ago
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0 comments
569.
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jph00
7y ago
Whether a variable is latent or explicit isn't really relevant to the question of algorithmic fairness. The link I provided gives the actual details of the method and findings; this is probably a more useful source for the details. The
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jph00
7y ago
This article seems to misrepresent a number of important issues, and as a result significantly overstates their claims. I'll pick just one illustrative (but important) example: > " For instance, when ProPublica journalists trie
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