<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine Learning on Aidan Johnson</title><link>https://aidanjohnson.dev/tags/machine-learning/</link><description>Recent content in Machine Learning on Aidan Johnson</description><generator>Hugo -- gohugo.io</generator><language>en</language><managingEditor>Johnsoac671@gmail.com (Aidan Johnson)</managingEditor><webMaster>Johnsoac671@gmail.com (Aidan Johnson)</webMaster><copyright>© 2026 Aidan Johnson</copyright><lastBuildDate>Sat, 06 Dec 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://aidanjohnson.dev/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Fog-of-War Chess Playing AI Agent</title><link>https://aidanjohnson.dev/projects/dark-chess-ml/</link><pubDate>Sat, 06 Dec 2025 00:00:00 +0000</pubDate><author>Johnsoac671@gmail.com (Aidan Johnson)</author><guid>https://aidanjohnson.dev/projects/dark-chess-ml/</guid><description>Comparing multiple machine learning methods for learning to play Dark Chess (where a player can only see the spaces their pieces can move).</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://aidanjohnson.dev/projects/dark-chess-ml/feature.png"/></item><item><title>Galaxy Image Denoiser</title><link>https://aidanjohnson.dev/projects/galactic-image-upscaler/</link><pubDate>Sat, 06 Dec 2025 00:00:00 +0000</pubDate><author>Johnsoac671@gmail.com (Aidan Johnson)</author><guid>https://aidanjohnson.dev/projects/galactic-image-upscaler/</guid><description>A data processing pipeline for upscaling and denoising images of galaxies.</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://aidanjohnson.dev/projects/galactic-image-upscaler/feature.png"/></item><item><title>Twitter Sentiment Analysis Classifier</title><link>https://aidanjohnson.dev/projects/twitter-sentiment-analysis/</link><pubDate>Thu, 06 Mar 2025 00:00:00 +0000</pubDate><author>Johnsoac671@gmail.com (Aidan Johnson)</author><guid>https://aidanjohnson.dev/projects/twitter-sentiment-analysis/</guid><description>Comparing multiple traditional machine learning and deep learning methods for identifying the sentiment of a dataset of tweets.</description></item></channel></rss>