Journal of Astrological Big Data Ecology
Premium source for made up science
You start separating out the data into various train-test chunks and it all works just the same. When you run the numbers on how well it fits, you get some log likelihood metric, it looks good, but you’re still not sure… What do you do?
Try Another Algorithm—I don’t trust this unsupervised stuff
Try less data—I think I might be overfitting here…
Try only Relevant Data— There’s gotta be some research on the best way to pick your feature space
B McGraw has lived a long and successful professional life as a software developer and researcher. After completing his BS in spaghetti coding at the department of the dark arts at Cranberry Lemon in 2005 he wasted no time in getting a masters in debugging by print statement in 2008 and obtaining his PhD with research in screwing up repos on Github in 2014. That's when he could finally get paid. In 2018 B McGraw finally made the big step of defaulting on his student loans and began advancing his career by adding his name on other people's research papers after finding one grammatical mistake in the Peer Review process. View more posts