<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>mni-ml</title><description>A curriculum for understanding machine learning from scratch</description><link>https://mni-ml.github.io/</link><item><title>Intro - What is ML</title><link>https://mni-ml.github.io/articles/introduction/</link><guid isPermaLink="true">https://mni-ml.github.io/articles/introduction/</guid><description>A brief overview of the goals of ML and this blog</description><pubDate>Thu, 16 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Gradient Descent</title><link>https://mni-ml.github.io/articles/gradient-descent/</link><guid isPermaLink="true">https://mni-ml.github.io/articles/gradient-descent/</guid><description>The most important math behind ML</description><pubDate>Thu, 16 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Optimizing the Math</title><link>https://mni-ml.github.io/articles/optimizations/</link><guid isPermaLink="true">https://mni-ml.github.io/articles/optimizations/</guid><description>Reducing computation times using neat stuff</description><pubDate>Thu, 16 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Transformers</title><link>https://mni-ml.github.io/articles/transformers/</link><guid isPermaLink="true">https://mni-ml.github.io/articles/transformers/</guid><description>The largest paradigm shift in the field</description><pubDate>Thu, 16 Apr 2026 00:00:00 GMT</pubDate></item></channel></rss>