<?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 Pendragon AI</title><link>https://www.pendragonai.com/categories/machine-learning/</link><description>Recent content in Machine Learning on Pendragon AI</description><generator>Hugo</generator><language>en-us</language><copyright>Andre Oporto 2020 -</copyright><lastBuildDate>Thu, 29 May 2025 11:03:04 +0000</lastBuildDate><atom:link href="https://www.pendragonai.com/categories/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>The Essentialness of “Essential Math for Data Science”</title><link>https://www.pendragonai.com/essential-math-data-science-generative-ai/</link><pubDate>Thu, 29 May 2025 11:03:04 +0000</pubDate><guid>https://www.pendragonai.com/essential-math-data-science-generative-ai/</guid><description>Essential Math for Data Science will help you understand the math behind AI including Deep Learning, Generative AI and ChatGPT using Python.</description></item><item><title>Setup TensorFlow with GPU acceleration using Windows, Docker and WSL2</title><link>https://www.pendragonai.com/setup-tensorflow-gpu-windows-docker-wsl2/</link><pubDate>Thu, 30 Nov 2023 01:39:21 +0000</pubDate><guid>https://www.pendragonai.com/setup-tensorflow-gpu-windows-docker-wsl2/</guid><description>One of the fastest ways to get started with TensorFlow and Keras on your local developer machine is using Docker on a Windows machine with an NVIDIA GPU.</description></item><item><title>Caching Deep Learning Models with TensorFlow, Keras and PTMLib</title><link>https://www.pendragonai.com/caching-deep-learning-models-with-tensorflow-keras-and-ptmlib/</link><pubDate>Thu, 17 Mar 2022 11:57:41 +0000</pubDate><guid>https://www.pendragonai.com/caching-deep-learning-models-with-tensorflow-keras-and-ptmlib/</guid><description>Save Machine Learning models, time, and energy (and maybe even the planet)</description></item><item><title>Xandly5 – Generate Lyrics with Deep Learning and Natural Language Processing</title><link>https://www.pendragonai.com/xandly5-generate-lyrics-with-deep-learning-and-natural-language-processing/</link><pubDate>Tue, 16 Mar 2021 12:35:29 +0000</pubDate><guid>https://www.pendragonai.com/xandly5-generate-lyrics-with-deep-learning-and-natural-language-processing/</guid><description>Xandly5 (pronounced zand-lee-five) is a lyrics generator powered by Natural Language Processing (NLP) and the Keras and TensorFlow frameworks.</description></item><item><title>Three Tips for Learning AI and Machine Learning</title><link>https://www.pendragonai.com/three-tips-for-learning-ai-and-machine-learning/</link><pubDate>Tue, 02 Mar 2021 19:17:53 +0000</pubDate><guid>https://www.pendragonai.com/three-tips-for-learning-ai-and-machine-learning/</guid><description>You don&amp;rsquo;t need to spend a lot to learn AI and ML right now&amp;hellip;</description></item><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>