Ah yes, regression
Submitted 1 day 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 1 day ago
Corr@lemm.ee 1 day ago
That was a joy. Thank you for sharing
TachyonTele@lemm.ee 1 day ago
Check this shit out (fig 1).
Lmao there’s so much gold. I got frustrated for him while reading it.
credo@lemmy.world 1 day 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 1 day ago
Germanium My Ass
CodexArcanum@lemmy.world 1 day 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 1 day ago
From what I heard, the guy actually did change to a CS major shortly after writing this.
negativenull@lemmy.world 1 day 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 1 day ago
prex@aussie.zone 19 hours ago
Always XKCD: https://xkcd.com/882/
merari42@lemmy.world 1 day 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 1 day ago
One line best-fits all
reinei@lemmy.world 1 day 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 1 day ago
Oh, it’s trending up. That’s progress!
dream_weasel@sh.itjust.works 1 day ago
R^2=0.03
Engywuck@lemm.ee 1 day ago
Well, some students of mines actually put some figure like that in al lab report…
Whelks_chance@lemmy.world 1 day 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 20 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!
rustydrd@sh.itjust.works 1 day 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 onemindbleach@sh.itjust.works 1 day ago
Gaussian: “Squint.”
MajorHavoc@programming.dev 1 day ago
Looks like a successfullybtrained learning model, to me. (Sarcasm)
Gork@lemm.ee 1 day ago
Dat spread tho
Flocklesscrow@lemm.ee 1 day ago
I don’t know why you get credit at all; I do all the work. - Excel
collapse_already@lemmy.ml 1 day ago
They’ll also try to linear fit even the most obvious exponential curve.
yesman@lemmy.world 1 day ago
And if that doesn’t work, there’s always factor analysis.
troyunrau@lemmy.ca 1 day ago
How can you argue with a word like "best’ anyway ;)
uis@lemm.ee 1 day ago
Probably minimal surface ellipse.
Bougie_Birdie@lemmy.blahaj.zone 1 day ago
It’s the line of best fit, not the line of good fit
macarthur_park@lemmy.world 1 day ago
Line of “least bad” fit
merari42@lemmy.world 1 day ago
Best Linear Unbiased Estimator