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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.
From what I heard, the guy actually did change to a CS major shortly after writing this.
This relation between temperature and resistivity can be shown to be exponential in certain temperature regimes by waving your hands and chanting “to first order.”
for some reason this is the line that got me
One Line to rule them all
One Line to find them
One Line to bring them all
and in the data bind themMachine 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 those blue points? Overparameterization is the future!
Fine! I’ll use a second order polynomial to fit this instead. But that’s the last order I’m willing to go to!
Oh, it’s trending up. That’s progress!
And if that doesn’t work, there’s always factor analysis.
They’ll also try to linear fit even the most obvious exponential curve.
Looks like a successfully trained learning model, to me. (Sarcasm)
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