Lies, damned lies, and rankings: the problem with Bloomberg’s COVID resilience ranking
Every ranking creates winners and losers. In the case of Bloomberg’s Covid Resilience Ranking, the Philippines is a loser: dead …
Category Archives: R
Request for comments on planned features for futile.logger 1.5
I will be pushing a new version of futile.logger (version 1.5) to CRAN in January. This version introduces a number …
Preview my new book: Introduction to Reproducible Science in R
I’m pleased to share Part I of my new book “Introduction to Reproducible Science in R“. The purpose of this …
How to call bullshit on AI companies (aka a short lesson on recall)
Now that software ate the world, what’s for dessert? Those in the know know that it’s AI. It seems everyone …
Data-driven unit testing for data scientists and quant developers alike
Often overlooked, testing is a critical process that saves time over the long term and enables building complex systems. Unit …
Modeling data with functional programming, Part I
The latest draft of my book is available. This will be my last pre-publication update, as I’m in the process …
What you need to know about data augmentation for machine learning
Plentiful high-quality data is the key to great machine learning models. But good data doesn’t grow on trees, and that …
A simple workflow for deep learning
As a follow-up to my Primer On Universal Function Approximation with Deep Learning, I’ve created a project on Github that …
A primer on universal function approximation with deep learning (in Torch and R)
Arthur C. Clarke famously stated that “any sufficiently advanced technology is indistinguishable from magic.” No current technology embodies this statement …
Best practices for logging computational systems in R and Python
As is the case with most quant software, it’s a bit different from run-of-the-mill software. The somewhat prosaic world of …
Cartesian Faith 