math (9 posts)

In a groundbreaking discovery, we find out that something has to happen all the time, and nothing can't happen any of the time. We make up new words, like "empirical," "inference," and "bear."

Deep learning needs a model, data, and optimization algorithm. Visualizing AI like a landscape can help build intuition for how these components interact. I plant some imaginary trees.

I take on the entire Internet. Some words are meaningless. You learn a lesson that will serve you well far beyond Wordle. I get to use the word "heuristic" in a sentence.

If James Webb makes it to L2, it just might be a Christmas miracle. Also, a little code saves us from an intractable polynomial equation.

Previously on this blog I’ve discusses Markov chain Monte Carlo (MCMC) and how we can use it to estimate a complex posterior distribution we…

In his 1981 and 1983 Baseball Abstracts, pioneering sabermetrician Bill James proposed the log5 method for mixing event probabilities, which…

I’ve recently been reading about the JointVAE model proposed by Emilien Dupont in the paper Learning Disentangled Joint Continuous and…

One of my courses recently introduced Markov Chain Monte Carlo (MCMC) sampling, which has a lot of applications. I’d like to dive into those…

Let’s say that you and I are roommates, and I notice you’ve been gone the last two Friday nights. This is not necessarily unusual, and…