h3ctic

Can it be hosted locally? Would be great to beat mlflow

The fibonacci intervals should be elaborated more imho. The text starts too deep and needs a lighter introduction.

This makes it confusing what it is actually about from a technical/AI researcher perspective

I wondered about the same thing. Even though some parts of Emacs feel old it's still the best editor IMHO

My solution: orgzly syncs to a local file, the local file is synced with synching. Works flawlessly for my files.

Wasn't that the goal of experts-exchange?

I disagree, if you realize: "we need to refactor this file/module/class/etc." then it becomes a new task. Or more general, "we need to refactor the organically grown architecture": it's a new task. Working on a task should not prohibit your thinking about additional tasks, just add them to the backlog.

Have you tried Poetry? (https://python-poetry.org)

Overlaps with albumentations [0]

[0] albumentations.ai

The remarkable is not able to do split screen (for now). Instead, you can install the [ddvk hacks](https://github.com/ddvk/remarkable-hacks) for fast switching between recent documents and a swipe to the previous document.

I'd recommend the remarkable2 as the hacker friendliness makes quite a difference

That's what I hope! And looking at the rehackable GitHub repo I think it's not far fetched

Yes, apparently it only has a latency of 21ms

I'm planning on trying to do that as soon as I get mine. Being able to use org mode and org roam would be a huge plus.

Hey! What do you think about running this on a mobile device? What are the current limitations? Since WaveNet we are able to get really good TTS but it's always online. Why aren't there any good TTS engines yet? E.g. for Pocket or similar services

Can you point out some books/authors/papers to close the gap between statistics and NNs?

Then I suggest to try doom emacs

Looks like a good approach and the error rate of 3% is really good, I guess. Did they mention how they got the input data? I couldn't find it.

Thanks for sharing! I spread the info with my colleagues

Looks really cool, congrats! What's your stack for the App + Webapp?

Super interesting article. I can recommend Pearl's Book of Why to learn more about it

Although to me it's still quite difficult to apply the theoretical knowledge to day-to-day applications. Any references or ideas?

* Spend more time with my partner, friends and prevent a work/university overflow * Graduate * Create an MVP and release it for Android

Well I'm not happy about Orgzly, but it's the best there is right now

Linear Algebra is indeed essential - but Calculus as well. If you're talking about AI, then backpropagation would be the first thing that comes to my mind where Calculus is needed. On the other hand if you talk about data science, I would focus more on statistics and probability theory (again linear algebra and calculus are tools you will need)

I'm in the same boat, but chose React Native instead because learning more React + JS/TS has additional benefits

Well written and interesting article. If got a few points:

Education: The cost factor is an American thing. Here, in Germany it way more affordable. I have a Bachelor's in pure mathematics. I wouldn't have studied all those often hard and boring fundamental topics if they weren't required by the curriculum, that's what I like about the university. Now, I'm more interested into research and there the university is the best place to be Of course you could offer a curriculum online, online learning doesn't have to be cherry picking. But I see a value in beeing enrolled. This whole student culture helps broadening my horizon.

Media: I'd argue that the internet is getting more centralized. Most people use Google Search and YouTube, Facebook, and Twitter. There, an algorithm decides what you see. So yes, it is easier to diversify your media intake but there is still a central entity.

Attention: I think that's the thing this essay is mostly lacking in coverage. Having only the New York Times as reference you read a thorough report on a subject. Would you read it if you could get just a TL;DR or a quick video? I am not sure if the general public is really getting more educated or shut gaining a shallow knowledge based in FB or Reddit.

For example this article, or every Wait But Why article, are long and you read it only if you're interested. Otherwise I often catch myself only reading the comments.

Still, good article

Good question. I am asking this myself as I will finish University soon. Maybe someone has an opinion on it

Emacs. Although IDEs like VSCode are lean, pretty and fast. I don't want to switch IDE if I switch my programming language. Having modes for nearly everything you need and being able to quickly switch between programming, note taking with org and LaTeX, or basic shell tasks is really comfortable. An external terminal for demanding tasks which could break Emacs with its multi threading issues rounds it up.

Try --inspect-brk so that the Chrome debugger stops immediately and you have the time to set your breakpoints.

Isn't that Elon Musks approach with Neuralink?

I'm referring to the article: https://waitbutwhy.com/2017/04/neuralink.html

Jup, that was my own conclusion as well Reddit has not the same quality and daily science lacks the community.

Wondering how much from the last 100 years has been left out