<?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>Machine Learning on DataThrillz</title><link>https://datathrillz.com/tags/machine-learning/</link><description>Recent content in Machine Learning on DataThrillz</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 03 Sep 2020 17:48:01 +0000</lastBuildDate><atom:link href="https://datathrillz.com/tags/machine-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Fastai’s Practical Deep Learning for Coders Course Release - 2020 Update!</title><link>https://datathrillz.com/posts/2020-09-03-fastais-practical-deep-learning-for-coders-course-release-2020-update/</link><pubDate>Thu, 03 Sep 2020 17:48:01 +0000</pubDate><guid>https://datathrillz.com/posts/2020-09-03-fastais-practical-deep-learning-for-coders-course-release-2020-update/</guid><description>&lt;p&gt;On Aug 21st, 2020, fastai released a new version of their Practical Deep Learning for Coders -Part 1 course. This course is a must-take for new and intermediate deep learning practitioners. It is well done and teaches you intuition without drowning you in theory. The only prerequisites are some high-school math, and a year of coding experience (preferably in Python). This course is free and can be done without any installation, by taking advantage of the Colab and/or Gradient platforms, which provide free, GPU-powered Python notebooks. Go &lt;a href="https://course.fast.ai/"&gt;here&lt;/a&gt; to learn more about the course.&lt;/p&gt;</description></item></channel></rss>