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.
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."
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 those blue points? Overparameterization is the future!
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...
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.