Topological Data Analysis

[Anonymous No.9220684]

Has anyone been interested in TDA?

I'm an applied math/stats PhD student thinking of doing my dissertation on it (for neuroscience, just because that's what my school's into).

I really think Topology's the future of understanding complex systems and has a leg up on statistics-based machine learning and even stochastic calculus that relies on probability distributions.

I really think Topology will pave new frontiers in ecology, climate science, neuroscience, and economics.

[Anonymous No.9220733]

>>9220684
All this said, if you think that topological analysis of large data sets is cool, then do it man. But you're going to push-out derivative garbage if your motivation is to apply sexy sounding words to problems you don't care about. The way to have real insight is to ask good questions. Don't start with how you want to answer something, start with what you want to answer.

[Anonymous No.9220742]

>>9220733
aw shit, it cut off the first part where I talked a bunch of shit. Here's a summary:

None of what you said is meaningful. Why do you think topology is the future of data science? cause it sounds smart? Persistent homology has been around for years now and nothing really got revolutionized, and that sounds smart as shit. Also you clearly don't know what stochastic calculus is.

[Anonymous No.9221041]

>>9220684
literally, how the fuck i'm supposed to interpret this shit.
they've had similar ones on their site

[Anonymous No.9221144]

This is cool as fuck, but it doesn't appear to have been applied to many fields other than higher math

[Anonymous No.9221149]

>>9220684
>Topological Data Analysis
>>9221144
>cool as fuck,

It has many applications, specially in Data Science (Computational Statistics)

Eletrical Engineering (muh Circuits)
Computer Science (muh Computer Networks)
Civil Engineering (muh Transportation systems)
Sociology (muh Facebook & Twitter Friends Social Networks)
Business (muh Linkedin networking)
Biology (muh Ecology, Evolution & Medicine)

[Anonymous No.9221154]

>>9220684 >>9221144 >>9221149
It can be applied to Computational Neurology.
To make AIs (by Neural Networks) & simulate a Brain (Computer Model called Connectome)

>https://www.youtube.com/watch?v=opqIa5Jiwuw

>https://www.youtube.com/watch?v=u28ijlP6L6M

>https://en.wikipedia.org/wiki/Connectome

[Sixophrenia !jkTfFnvA2M No.9221161]

You're right OP. Topology chaos for blockchain sharding

[Anonymous No.9221355]

>>9221161
I have no idea what topology chaos or block chain sharding is

But I'm glad I got replies to my thread and /sci/ talked about something besides IQ for once...seriously what the fuck

[Sixophrenia !jkTfFnvA2M No.9221506]

>>9221355
Well everyone should tell vitalik because every professional in the world is running around with their heads cut off
and I've been about this life since a decade ago. I just though people were already doing this shit on the darkweb... turns out I overestimated a lot of what was happening on the dark web. Unfortunately, that's why I missed out on bitcoin


Intelligence....
the "smarter" you are the more you realize you're not smart, you've just invested your emotions differently.

people that are "people smart"
are actually "chaos" smart. chaos in the very specific context of culture and human psychology. Their heuristics are adapted to account for systems of people, not perfectly predictable components.

[Anonymous No.9221530]

>>9220684
Yo, applied dude. I have a problem here: suppose you have a set of points connected by joints, the length of joints is fixed. I can vary rotation matrixes between joints to get positions of those. How do I sample positions of the whole chain uniformly?