On the second pair of meetings, we learned some basic machine learning.

Meeting A2 - Dec 16th 2018

This was the second meeting of Group A - clojure for data scientists.

We introduced Gorilla REPL, had some review of data structures and functions and introduced some topics like Java-interop, working with Java arrays, memoize and delay.

Then, we did short demo of machine learning on dummy data with regression trees and random forests.

These notes are close to what we did, with some adjustments for the sake of presentation.

🌺 Special thanks to Michael Feinstein, Ella Bekerman-Vizel, Alon Vizel and Alik Peltinovich, who helped to make these notes a little better. 🌺

Meeting B2 - Dec 19th 2018

This was the second meeting of Group B - data science for clojurians.

It began with an ✨enlightning✨ talk by Alik Peltinovitch about machine learning. You can find his presentation here.

After some discussion, we continued with an overview of some of the workshop's projects.

Dudu Peer talked about his project of analysing the clojure ecosystem by web-scraping github and clojars, using Specter as a main tool.

Amit Ramon explained a bit about the project of improving the existing libraries for tabular data strucutres.

Then, Amnon Heiman suggested a project idea of extending Prometheus.io with a Clojure-based AI-layer.

On the last hour, we did a demonstration of machine learning with regression trees - similar to the one on the first group.