Last weekend (on 2022-08-13) I gave a presentation titled “Implementing Machine Learning algorithms in Raku” at the The Raku Conference 2022.
As the title hints, in the presentation we discuss the implementations of different Machine Learning (ML) algorithms in Raku.
The main themes of the presentation are:
– ML workflows demonstration
– Software engineering perspective on ML implementations
– ML algorithms utilization with Raku’s unique features
Here is a mind-map of the presentation:

Here is a mind-map of the considered ML algorithms:

The presentation “slides” are available as:
- Mathematica notebook (hosted at the Wolfram Community site)
- Markdown (hosted at the “RakuForPrediction-book” project at GitHub)