<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai on Pendragon AI</title><link>https://www.pendragonai.com/tags/ai/</link><description>Recent content in Ai on Pendragon AI</description><generator>Hugo</generator><language>en-us</language><copyright>Andre Oporto 2020 -</copyright><lastBuildDate>Thu, 04 Feb 2021 21:56:05 +0000</lastBuildDate><atom:link href="https://www.pendragonai.com/tags/ai/index.xml" rel="self" type="application/rss+xml"/><item><title>Announcing PTMLib – Pendragon Tools for Machine Learning</title><link>https://www.pendragonai.com/announcing-ptmlib-pendragon-tools-for-machine-learning/</link><pubDate>Thu, 04 Feb 2021 21:56:05 +0000</pubDate><guid>https://www.pendragonai.com/announcing-ptmlib-pendragon-tools-for-machine-learning/</guid><description>PTMLib is a set of utilities that I have built and used while working with Machine Learning frameworks such as Scikit-Learn and TensorFlow.</description></item><item><title>You Can Do Machine Learning and AI</title><link>https://www.pendragonai.com/you-can-do-machine-learning-and-ai/</link><pubDate>Thu, 31 Dec 2020 17:20:00 +0000</pubDate><guid>https://www.pendragonai.com/you-can-do-machine-learning-and-ai/</guid><description>If you are interested in pursuing the path of Machine Learning (ML) and Artificial Intelligence (AI), you may have run across certain objections, or have your own personal doubts, as to whether or not this is for you. Here are some you may run into&amp;hellip;</description></item></channel></rss>