There has been a increasing trend in healthcare and criminal justice to leverage machine learning (ML) for high-stakes prediction applications that deeply impact human lives… The lack of transparency and accountability of predictive models can have (and has already had) severe consequences… — Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

MacOS Filename Homoglyphs Revisited: Didn’t know there was such a thing in Mojave.

Before getting an iPhone 3, I was a happy owner of a Blackberry. This little review brought back a lot of memories from that time.

Handouts for Bayesian Data Analysis .

A Review of the Python Data Science Dashboarding Landscape in 2019. #python

C, what the fuck??!

Mathematics of Programming.

This new thing, Dash, by the Plotly team looks so nice! First time I see a serious contender to Shiny for visual analytics dashboards.

Best Practices for ML Engineering (PDF, 24 pp.).

I know a lot of people dislike semantic versioning. They hate how requires incrementing the major version number every time a breaking change is made.
I consider it to be a good thing.
You should pause and carefully consider making a change that will break people’s current code.
You should be ashamed if your project is at version 43.0.0 because you’ve made 42 breaking changes. That’s 43 times you’ve disregarded your users’ time! That’s a bad thing! — Volatile Software