In my internet wanderings, I stumbled upon this blog:
The writer, Tae-Danae Bradley, wrote a PhD applying category theory (a field of mathematics that strives for abstraction) to problems in machine learning.
In my internet wanderings, I stumbled upon this blog:
The writer, Tae-Danae Bradley, wrote a PhD applying category theory (a field of mathematics that strives for abstraction) to problems in machine learning.
I came across this blog:
http://gregorygundersen.com/blog
The writer now focuses mostly on financial models and techniques, but earlier posts cover topics in probability and statistics.
This probability blog came up in my news feed:
It seems to focus on stochastic processes such as Brownian motion and friends.
I have come across posts on this blog at least three or four times:
https://xianblog.wordpress.com/
It happens, I later discovered, to be maintained by Christian P. Robert, a senior research figure in Markov chain Monte Carlo methods and Bayesian statistics.
When researching topics for my work (and for posts), I sometimes stumble upon the same blog more than once for different reasons. One of these is this one:
http://extremelearning.com.au/
It’s run by a Tasmanian physicist turned data scientist. Topics include quasi-random sequences, the Fisher-Yates sampling algorithm, and sampling points uniformly on a triangle.
Update: A post on the multi-arm bandit problem, which is a prototypical problem in reinforcement learning.