Know Thyself: And Know Thine Uncertainty

So in my recent readings of various ML media, from blog posts to published papers, I’ve just started to notice a trend. I’m growing more certain that the ML community is ignoring uncertainty, which is certainly not a good practice and it renders much their results quite uncertain.

In this post, I wanted to just go over a quick and easy method to use inverse probability to estimate the uncertainty in your model’s test-accuracy. Continue reading “Know Thyself: And Know Thine Uncertainty”

Samurai Swords: A Bayesian Perspective

A classic Japanese Katana, with a thickness of around 2-3 inches, has over 2000, hand-folded layers of steel. To put this into context, if you fold a sheet of paper 15 times, it will reach a height of 3 meters, or, in other words, Shaq with about 3 burritos on his heads. The swords were so powerful that foreigners would often find their blades shattered within seconds of a fight. So I guess the question on your mind is, what the hell does any of this have to do with Bayesian Statistics???

Continue reading “Samurai Swords: A Bayesian Perspective”