I’ve been using Mathematica more for work, and finally getting better at it. It’s only been 20 years…
Anyway, Mathematica has some machine learning capabilities built in, so I started playing around with them. Maybe something would be useful for work? (Probably not.) Anyway, a few of the tools have pre-trained datasets to play with, so you can just plug stuff into them.
One is the “NameAge” dataset, which predicts the most likely age for a given name. Naturally, I put some names in. I then plotted up the difference between the predicted age and the person’s actual age. In my chart, negative numbers represent how much younger the person is predicted to be compared to their actual age, and positive numbers are older.
Buff does the worst, but with her given name, she is predicted to be much younger. Up next is Joe, Mike, Pete, Tom, and myself; according to this machine learning dataset, we should be getting ready for retirement, clocking in at more than 15 years older than our actual age.