<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Optimisation on The Standard Error</title><link>https://jongha-jeon-dev.github.io/standarderror/tags/optimisation/</link><description>Recent content in Optimisation on The Standard Error</description><generator>Hugo -- 0.123.7</generator><language>en-gb</language><lastBuildDate>Thu, 08 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jongha-jeon-dev.github.io/standarderror/tags/optimisation/index.xml" rel="self" type="application/rss+xml"/><item><title>ML 6: On Separable Data, Your Logistic Coefficients Are Your Stopping Rule</title><link>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-6-separable/</link><pubDate>Thu, 08 Oct 2026 00:00:00 +0000</pubDate><guid>https://jongha-jeon-dev.github.io/standarderror/lectures/ml-6-separable/</guid><description>Logistic regression is taught as finding the maximum-likelihood coefficients. When a hyperplane separates the classes there is no maximum, and what comes back is decided by when the optimiser stopped.</description></item></channel></rss>