<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Georgia-Tech on Ryan Orban</title><link>https://ryanorban.com/categories/georgia-tech/</link><description>Recent content in Georgia-Tech on Ryan Orban</description><generator>Hugo</generator><language>en-us</language><managingEditor>me@ryanorban.com (Ryan Orban)</managingEditor><webMaster>me@ryanorban.com (Ryan Orban)</webMaster><copyright>Ryan Orban</copyright><lastBuildDate>Tue, 01 Jun 2021 00:00:00 +0000</lastBuildDate><atom:link href="https://ryanorban.com/categories/georgia-tech/index.xml" rel="self" type="application/rss+xml"/><item><title>CS 7646: Machine Learning for Trading</title><link>https://ryanorban.com/notes/cs7646-ml-trading/</link><pubDate>Tue, 01 Jun 2021 00:00:00 +0000</pubDate><author>me@ryanorban.com (Ryan Orban)</author><guid>https://ryanorban.com/notes/cs7646-ml-trading/</guid><description>&lt;h3 id="summary" class="scroll-mt-8 group"&gt;
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&lt;p&gt;CS 7646 is a graduate course from Georgia Tech&amp;rsquo;s OMSCS (Online Master of Science in Computer Science) program that applies machine learning techniques to financial trading and portfolio management. The course videos are freely available, making it one of the most accessible formal treatments of quantitative trading from an ML perspective.&lt;/p&gt;</description></item></channel></rss>