Eugene’s Computer Science Journey

Improvements to a Classical Simulation of a Quantum Algorithm

This post is about a small project that I’ve been working on for the last month or so. I’ve been learning a lot about quantum computing lately, and as a theoretical…

Thoughts on the Value-Loading Problem

This is a blog post I started writing up in September. I wrote the first draft in about a week, then set it aside with the intent of polishing it up and doing more reading…

What I’ve Learned from My First Kaggle Competitions

Rubik’s Cube Solver

I have uploaded my old Rubik’s Cube project to GitHub here. The project doesn’t use deep learning or ML, but it may be interesting to readers nevertheless.

Analyzing Infant Mortality Rates by County, Race, and Income in North Carolina, 2011-2016

In November 2022, my friend gave me the datasets included in the “data” folder for this post as “Yr1116Birth.csv” and “Yr1116Death.csv” and told me to develop a model that…

Principal Components Analysis

For this blog post, I want to talk about principal components analysis (PCA). This is something I learned about from the great book Introduction to Statistical Learning with R by James, Witten, Hastie, and Tibshirani. This is another one of those “delve deeper into the math theory”…

Constructing a Neural-Net Digit Classifier (Almost) from Scratch

In this post, I am basically adapting Chapter 4 of the fast.ai book to extend the 3/7 classifier into a digit classifier for all digits. Just as in the book, I’m going to…

The Universal Approximation Theorem

I’ve read in the fast.ai book about the universal approximation theorem. It’s described vaguely, but since I am a mathematician by training, I’m going to try to do the following in this post: first, I’ll guess at the precise statement of the…

Welcome to my blog!

For my first entry, I will just plug my very simple bird-song classifier, which can be found here. It is hosted using the free platform Hugging Face…