A follow-up to Erik Bernhardsson's post "More MCMC – Analyzing a small dataset with 1-5 ratings" using ordered categorical generalized linear models.
Simple intercausal reasoning on a 3-node Bayesian network.
A toy, hand-rolled Bayesian model, optimized via simulated annealing.
Modeling a typical week of RescueTime data via an alternative take on the Dirichlet distribution.
Hand-rolled sparse autoencoders to generate novel world flags.
An introduction to what Docker is and why and how to use it for Kaggle.
Recurrent neural network gradients by hand.
A post-mortem statistical simulation of the 2016 Colombian plebiscite.
A 9-month self-curated deep-dive into select topics in machine learning and distributed computing.
© Will Wolf 2020
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