Fifteen Papers in Modern AI: Reading Notes by a Statistician
Reading notes on fifteen papers behind modern language and image models, from the Transformer to InstructGPT, with the mathematics and a statistical reading of each
Your First Days on an HPC Cluster: A Primer for Statisticians
What a university compute cluster is made of, how to read its hardware specs, where your files live, how to connect with SSH and VS Code, how modules and Slurm work, and the gotchas that trip up newcomers
Spectral and Combinatorial Theory of the Graph Laplacian
Notes on spectral and combinatorial theory of the graph Laplacian
A Reading Recommendation: the HDSR Editor's Column
A pointer to the Harvard Data Science Review Editor's Column: Xiao-Li Meng's ongoing series of essays on statistical thinking, data science, and AI.
A Reading Recommendation: the CRAN Bayesian Task View
A pointer to the CRAN Bayesian Inference Task View: a curated, regularly updated map of 200+ R packages for Bayesian modeling, MCMC, and convergence diagnostics.
Quant Prep Terminal
Open-source · github.com/YuZh98/quant-prep-terminal
Everything you need to prepare for a quantitative-finance interview, packed into one HTML file: cheatsheets, flashcards, and a small lab where you can build an option position and watch its payoff in real time. No install, no sign-up — open it and study.
