Ah yes, regression
Submitted 18 hours ago by The_Picard_Maneuver@lemmy.world to science_memes@mander.xyz
https://lemmy.world/pictrs/image/7b2dc821-73fe-45ab-8bf6-359c5aee30f8.jpeg
Comments
frezik@midwest.social 14 hours ago
Corr@lemm.ee 13 hours ago
That was a joy. Thank you for sharing
TachyonTele@lemm.ee 12 hours ago
Check this shit out (fig 1).
Lmao there’s so much gold. I got frustrated for him while reading it.
credo@lemmy.world 10 hours ago
I had a hard time reading. Could not stop laughing enough to get past the fourth paragraph. Sides hurt, would not recommend.
TheOakTree@lemm.ee 12 hours ago
Germanium My Ass
CodexArcanum@lemmy.world 11 hours ago
Going into physics was the biggest mistake of my life. I should’ve declared CS. I still wouldn’t have any women, but at least I’d be rolling in cash.
Honestly, there wasn’t all that much cash to roll in and there’s less all the time now. Plus, if you think busted equipment is bad, wait until I tell you about inheriting legacy code.
frezik@midwest.social 10 hours ago
From what I heard, the guy actually did change to a CS major shortly after writing this.
Bougie_Birdie@lemmy.blahaj.zone 17 hours ago
It’s the line of best fit, not the line of good fit
macarthur_park@lemmy.world 15 hours ago
Line of “least bad” fit
merari42@lemmy.world 11 hours ago
Best Linear Unbiased Estimator
negativenull@lemmy.world 17 hours ago
One Line to rule them all
One Line to find them
One Line to bring them all
and in the data bind them_stranger_@lemmy.world 16 hours ago
merari42@lemmy.world 11 hours ago
Machine Learning enthusiasts: Why settle for linear regression when you can deploy a Gradient-Boosted Random Deep Neural Net Surface Vector Cluster that consumes the entire power of Iceland to trace a perfect ∞-dimensional hypersphere around blue points? Overparameterization is the future!
Aurenkin@sh.itjust.works 18 hours ago
One line best-fits all
reinei@lemmy.world 16 hours ago
Fine! I’ll use a second order polynomial to fit this instead. But that’s the last order I’m willing to go to!
badbytes@lemmy.world 17 hours ago
Oh, it’s trending up. That’s progress!
Engywuck@lemm.ee 14 hours ago
Well, some students of mines actually put some figure like that in al lab report…
Whelks_chance@lemmy.world 12 hours ago
You asked for a line, they gave you a line, what more can be asked for?
We used to intentionally add wrong data to our datasets so we could circle it afterwards, declare it “outlying data” and gain the extra points for spotting and documenting it.
I’m not bitter about my formal education, honest…
Engywuck@lemm.ee 4 hours ago
We used to intentionally add wrong data to our datasets so we could circle it afterwards, declare it “outlying data” and gain the extra points for spotting and documenting it.
Nice trick!
dream_weasel@sh.itjust.works 16 hours ago
R^2=0.03
mindbleach@sh.itjust.works 14 hours ago
Gaussian: “Squint.”
MajorHavoc@programming.dev 12 hours ago
Looks like a successfullybtrained learning model, to me. (Sarcasm)
rustydrd@sh.itjust.works 13 hours ago
If you’re having proportion of explained variance problems I feel bad for you son
I got ninety nine problems but a fit ain’t oneGork@lemm.ee 17 hours ago
Dat spread tho
Flocklesscrow@lemm.ee 17 hours ago
I don’t know why you get credit at all; I do all the work. - Excel
collapse_already@lemmy.ml 12 hours ago
They’ll also try to linear fit even the most obvious exponential curve.
yesman@lemmy.world 17 hours ago
And if that doesn’t work, there’s always factor analysis.
troyunrau@lemmy.ca 17 hours ago
How can you argue with a word like "best’ anyway ;)
uis@lemm.ee 14 hours ago
Probably minimal surface ellipse.
prex@aussie.zone 3 hours ago
Always XKCD: https://xkcd.com/882/