PRMLT

Why we included this project

PRMLT is the companion code for Bishop's Pattern Recognition and Machine Learning: every algorithm in the book, implemented in compact Matlab that mirrors the book's notation and formulas. The code is deliberately terse and heavily commented, with vectorization and numerical-stability tricks baked in, so the core of each method is easy to spot and easy to adapt. Because it is pure Matlab with no external dependencies beyond the Statistics and Image Processing toolboxes, it runs cleanly on modern releases and slots directly into existing research workflows. Students working through the book get runnable versions of Gaussian mixture models, neural networks, and graphical models; researchers get a reference implementation they can hack on. One caveat: it requires R2016b or later, so check your Matlab version before cloning.