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Deep-Fried Data

idlewords.com

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Re: Deep-Fried Data

#51

Post by wtracy »

keyle wrote: post #44
pimlottc wrote: post #19

> Many [programmers] work jobs that are intellectually stimulating, but ultimately leave nothing behind. There is a large population of technical people who would enjoy contributing to something lasting. This hits pretty close to home.

Same here. I'm battling with this thought a lot. Beyond jobs, I think there should be communities of developers, designers, producers, writers, getting together and figuring out this stuff. And I don't mean open source projects. Let's group together smart people wanting to make a difference and have a hit list of things we (people) actually need. A group that would organise people into mission driven development. I'm…

> And I don't mean open source projects.

Then what do you mean? You described exactly what some of the largest, most successful FOSS projects (Firefox, KDE, Gnome, Libre Office, FreeBSD) are already doing.

> Let's group together smart people wanting to make a difference and have a hit list of things we (people) actually need.

Well, the FSF maintains a list of "high priority Free Software projects" that need help, but it's strongly colored by the FSF's politics: http://www.fsf.org/campaigns/priority-projects/

Re: Deep-Fried Data

#52

Post by idlewords »

aub3bhat wrote: post #50

Frankly as a grad student (The kind that the author apparently considers "dim witted"), the entire article is meaningless babbling without any underlying theme. I wonder if the author truly understands "Machine Learning", what are his qualifications? A degree in Art History, and some "programming experience" aren't very assuring. E.g. >> "The names keep changing—it used to be unsupervised learning, now it’s called bi…

My degree was in studio art, not art history.

Re: Deep-Fried Data

#53

Post by aub3bhat »

idlewords wrote: post #52
aub3bhat wrote: post #50

Frankly as a grad student (The kind that the author apparently considers "dim witted"), the entire article is meaningless babbling without any underlying theme. I wonder if the author truly understands "Machine Learning", what are his qualifications? A degree in Art History, and some "programming experience" aren't very assuring. E.g. >> "The names keep changing—it used to be unsupervised learning, now it’s called bi…

My degree was in studio art, not art history.

Those two are still orders of magnitude closer to each other when compared to difference between unsupervised learning with deep learning.

Re: Deep-Fried Data

#54

Post by bdr »

aub3bhat wrote: post #50

Frankly as a grad student (The kind that the author apparently considers "dim witted"), the entire article is meaningless babbling without any underlying theme. I wonder if the author truly understands "Machine Learning", what are his qualifications? A degree in Art History, and some "programming experience" aren't very assuring. E.g. >> "The names keep changing—it used to be unsupervised learning, now it’s called bi…

The difference doesn't really matter in context. You're fixating on a small part of the article that isn't important to the main thread.

Re: Deep-Fried Data

#55

Post by aub3bhat »

bdr wrote: post #54
aub3bhat wrote: post #50

Frankly as a grad student (The kind that the author apparently considers "dim witted"), the entire article is meaningless babbling without any underlying theme. I wonder if the author truly understands "Machine Learning", what are his qualifications? A degree in Art History, and some "programming experience" aren't very assuring. E.g. >> "The names keep changing—it used to be unsupervised learning, now it’s called bi…

The difference doesn't really matter in context. You're fixating on a small part of the article that isn't important to the main thread.

Its not a "small part", its a basic litmus test. The four terms are completely different from each other, and are not names of methods.

Unsupervised learning: Learning without a set of labels.

Big Data: Collecting / using large amount of data.

Deep Learning: Complex, multilayer representations which perform better than shallow/linear representations.

AI: Artificial Intelligence, an overarching subject or grouping of subjects involved in building intelligent systems.

Can you imagine someone talking about space exploration while making a statement such as

>> "The names keep changing—it used to be black holes, now it’s called radio telescope or reusable launch system or Astronomy"

Thats how ridiculous the original statement is.

Re: Deep-Fried Data

#56

Post by [deleted] »

munin wrote: post #32
sdenton4 wrote: post #2

"...Dim witted grad student that you can't really trust..." Reminds me of the phrase "graduate student descent" for training neural networks... I've been noticing more casual dismissiveness towards grad students lately. They are certainly often treated as the grunt laborers of academia, in areas where career prospects are downright stupid. I generally feel it would be more productive to at least pretend that they're…

looks like we found the grad student! but seriously, as a grad student, absolutely no one gives us respect. not our peers, our bosses, or society. why would you expect some random on the internet to do better?

[deleted]

Re: Deep-Fried Data

#57

Post by [deleted] »

Asparagirl wrote: post #49
codezero wrote: post #48

Earlier quoted context omitted.

I've got a VPS sitting around doing very little – what's the easiest way to get started?

Run a Warrior! Many flavors available: VirtualBox, Dockerfile, AMI (for Amazon EC2), you name it. http://archiveteam.org/index.php?title=ArchiveTeam_Warrior It would deeply unethical for me to point out that you could also run the Warrior on free server space that your company might not notice, kind of like the karmic inverse of a bitcoin miner. Deeply unethical. So I won't mention it.

[deleted]

Re: Deep-Fried Data

#58

Post by dcposch »

Asparagirl wrote: post #46

> I’ve saluted the efforts of Archive Team and the Internet Archive, but their activity is like having a museum curator that rides around in a fire truck, looking for burning buildings to pull antiques from. It's heroic, it's admirable, but it’s no way to run a culture. ...but in the meantime, here's an obligatory and shameless plug for donating to the Internet Archive[1] (tax-deductible in the US), or better yet mak…

The Archive is awesome, but the author's sensationalist description of what they do isn't really accurate.

For the most part, archive.org is not rushing in to save stuff that's about to be deleted.

Instead they are crawling the web 24/7, patiently maintaining a historical record.

Check out http://oldweb.today

It is amazing

Re: Deep-Fried Data

#59

Post by pcmaffey »

Machine learning does not have less bias than human researchers. It is simply magnified at scale.

And that scale is exactly the state of the internet. There is so much data available to study and understand, that we absolutely need better tools, like machine learning or whatever we want to call it, to help us keep up. Shit's moving faster than our human perception can handle, especially for those who didn't grow up with the internet.

Yes the data analyctic tools we have right now are premature— like fast food to our productized minds— but they will improve rapidly, as our taste for quality improves.

But sure demonizing the things you don't like is one step on the path to learning what's truly valuable.

Re: Deep-Fried Data

#60

Post by larsiusprime »

dcposch wrote: post #58
Asparagirl wrote: post #46

> I’ve saluted the efforts of Archive Team and the Internet Archive, but their activity is like having a museum curator that rides around in a fire truck, looking for burning buildings to pull antiques from. It's heroic, it's admirable, but it’s no way to run a culture. ...but in the meantime, here's an obligatory and shameless plug for donating to the Internet Archive[1] (tax-deductible in the US), or better yet mak…

The Archive is awesome, but the author's sensationalist description of what they do isn't really accurate. For the most part, archive.org is not rushing in to save stuff that's about to be deleted. Instead they are crawling the web 24/7, patiently maintaining a historical record. Check out http://oldweb.today It is amazing

"is not rushing in to save stuff that's about to be deleted" > I took the burning building metaphor as as a somewhat fanciful, but otherwise accurate description of the natural state of the web -- a series of loosely linked html pages that could disappear at any minute (and often do) as soon as the hosting expires, the author stops maintaining them, or the company reorganizes, etc. As a simple exercise, go browse a popular blog from 2008 or so and count the broken links.
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