This summer I will be reading the book Mathematics for Machine Learning, by marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. As one reviewer stated ‘This book provdides great coverage of allthe basic mathematical concepts for machine learning.’. The book has 12 chapters, and my goal is to read one chapter each week.

Preface: I recently coded a tiny Rust library, implementing a cryptographic idea which had caught my interest. This post is my way of cementing my understanding of concepts which I found difficult. I’m not a cryptographer and make zero guarantees regarding the correctness of the code or math in this post. One final note, no Ai was used in writing the story in this post, I wrote it myself, so you can expect it to suck lol. Read more

A quick, non-scientific, look at how we might estimate the number of squarings modulo n that a computer can perform per second.

TypeState is a powerful design pattern that we can use to provide compiletime checks based on the state of things. This post is my way of writing about what I’m learning with the hopes that it’ll stick better.