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R packages can be just a way to organise code, nothing more. By following a certain structure and a few rules we get to benefit from a whole bunch of tools designed just for packages. — Data Science Workflows.

Draw Lindenmayer Systems with Common LISP. `#lisp`

Slowly going back to my unread feeds in Reeder.app. Today is After WWDC 2020: bittersweet Mac. `#apple`

Logistic regression is not fundamentally a classification algorithm.

The problem arises from logistic regression often being taught as a “classification” algorithm in the machine learning world. I was personally not taught this way– I learned from econometricians that you can use either probit or “logit” as general linear models in the event you want to estimate on a binary target variable, and that these models calculate probabilities. Thinking about logistic regression as a probability model easily translates to the classification case, but the reverse simply does not seem to be true. — Why Do So Many Practicing Data Scientists Not Understand Logistic Regression?

C Needs Better Syntax and Macros. `#clang`