This series, which began with 541,909 rows of purchase data, has finally reached its final installment. In the first installment, we viewed 4,338 customers as three "clusters" using RFM and K-Means.

pathmc is a Python package for Bayesian path analysis and structural causal modeling. You write your causal assumptions as a small set of structural equations in a lavaan-inspired formula language, ...

Penguin-VL is a compact vision-language model family built to study how far multimodal efficiency can be pushed by redesigning the vision encoder, rather than only scaling data or model size.