[URGENT] choose my numerical linear algebra final project topic

[Astra]

i don't really know what any of them mean but they all seem to require the same amount of time please help me

 

[Astra]

i forgot to make the poll i made it now please vote

 

[faint]

just make up some dumb topic like the application of numerical linear algebra through the lens of AI art. nobody is gonna read/listen to you talk about this shit anyway

 

[faint]

can we talk about the badge tracking thing you do in your about page instead? that's far more interesting and practical to your everyday life than numerical linear algebra.

 

[Rugi]

I love deblurring, I would only ever use that technology for good

 

[Rugi]

(this user was incarcerated for the above post)

 

[adjectivenoun]

Hold on, let me consult my Magic 8 Ball.

...

"You may rely on it."

Alright, let's go with principal component analysis.

 

[Mechalico]

what is tomography

 

[antemortem]

i voted for principled computer analogy because I actually kmrecognize those words

 

[az]

vested interest in greyscale image deblurring

 

[dex]

Greyscale image deblurring would probably be the easiest to get a grip on and talk about. That's a pretty basic coding lesson, though deblurring can get complex if you care more for quality. Remember kids, blurring is not destructive! Block out info if you want to hide something. If you're interested in anything medical, ICT is pretty cool to learn about, though any math behind it is definitely way over my head. For those unaware, ICT is basically a kind of CAT scan that is better/worse at imaging certain things. PCA is really statistically oriented, so if getting the important bits from a data set sounds interesting to you, that'd be the choice.

If I was picking, I would probably go with PCA.

 

[Voltage]

PCA fucking sucks to do (as someone who is trying to do it for work), don't listen to dex he lies