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I don't think I will ever completely understand Rust lifetimes. Every time I think I get them, they come right back and hit me in the face. The other day I wanted to implement scoped variable bindings for my new programming language Zote, and it took me several hours to figure out why it did not work as I expected. So let's talk a bit about lifetimes, for both of our sakes.

A couple days ago when I checked Samuel's blog, as I do every now and then, I noticed that he had published a new post a whole week ago. Imagine my horror when I realized I was a whole week late to this life changing information! I knew then that it was time to look into RSS and web feeds to find out how I can keep track of updates for things such as this blog. So today I will share my findings with you, so you also can follow Samuel!

Decision trees have been around for several decades as a form of machine learning to mainly classify data. From my own experiences at school and Axis, I saw decision trees as simpler and more explainable when compared to neural networks, but also with less potential. However, it seems that they are used a lot in data mining, where the learning has to be done online. So here we will give a short introduction to decision trees and their online versions.

Welcome to this post and my website in general! Here I aim to ramble a bit about the site and my ideas for what I want to do with it. Let's get rambling :D