<?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>Newsletters on DataThrillz</title><link>https://datathrillz.com/tags/newsletters/</link><description>Recent content in Newsletters on DataThrillz</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 24 Nov 2020 16:14:54 +0000</lastBuildDate><atom:link href="https://datathrillz.com/tags/newsletters/index.xml" rel="self" type="application/rss+xml"/><item><title>Staying Up-To-Date on AI/ML</title><link>https://datathrillz.com/posts/2020-11-24-staying-up-to-date-on-ai-ml/</link><pubDate>Tue, 24 Nov 2020 16:14:54 +0000</pubDate><guid>https://datathrillz.com/posts/2020-11-24-staying-up-to-date-on-ai-ml/</guid><description>&lt;h2 id="great-email-newsletters-on-aiml"&gt;Great Email Newsletters on AI/ML&lt;/h2&gt;
&lt;p&gt;All newsletters are released weekly.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="https://jack-clark.net/"&gt;Import AI&lt;/a&gt; - AI newsletter that summarizes recent news articles and research; I enjoy how honest and succinct this newsletter is; also like that the implications of new algorithms are always discussed by Jack, who is an advocate for improved ML model explicability and data privacy. &lt;/li&gt;
&lt;li&gt;&lt;a href="http://aiweekly.co/"&gt;AI News Weekly&lt;/a&gt; - curated list of AI-related articles; presents a brief summary of each article describing the latest news, applied use cases and ethics; has ads&lt;/li&gt;
&lt;li&gt;&lt;a href="https://essentials.news/ai/applied-use-cases"&gt;AI Applied use Cases Top News&lt;/a&gt; - curated list of the latest AI news articles; subscribers can customize their newsletters according to topics of interest; weekly&lt;/li&gt;
&lt;li&gt;&lt;a href="https://www.deeplearning.ai/thebatch/"&gt;The Batch &lt;/a&gt;- newsletter from deeplearning.ai more academic with discussion of recent AI research papers; great breakdown of topics e.g. what’s new, why it matters and the implications&lt;/li&gt;
&lt;li&gt;&lt;a href="https://www.topbots.com/"&gt;TOPBOTS &lt;/a&gt;- list of various AI articles recently released on TOPBOT.com; articles cover a wide array of topics e.g. NLP, ML in marketing and interpretability; articles tend to be more technical&lt;/li&gt;
&lt;li&gt;&lt;a href="https://www.pyimagesearch.com/topics/"&gt;PyImageSearch&lt;/a&gt; - articles on using Python to tackle real-world computer vision and deep learning problems; very practical, well-done computer vision blog. I highly recommend Adrian’s free email courses.&lt;/li&gt;
&lt;li&gt;&lt;a href="https://opendatascience.com/?__hstc=19222759.6bdc32f5d914f7aaffa74265cc8f74aa.1602949716965.1602949716965.1606249902127.2&amp;amp;__hssc=19222759.1.1606249902127&amp;amp;__hsfp=3629513924"&gt;ODSC &lt;/a&gt;- newsletter with articles spanning various topics geared to beginners, experts and everyone in between. They also offer webinars (free and paid) as well as online meetups.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="podcasts"&gt;Podcasts&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;a href="https://dataskeptic.com/"&gt;Data Skeptic&lt;/a&gt; has short episodes that cover various ML concepts&lt;/li&gt;
&lt;li&gt;&lt;a href="https://twimlai.com/shows/"&gt;TWIML AI&lt;/a&gt; - Formally This Week in ML &amp;amp; AI is hosted by Sam Charrington who asks really strong questions to the latest and greatest AI/ML researchers.&lt;/li&gt;
&lt;li&gt;&lt;a href="https://changelog.com/practicalai"&gt;Practical AI&lt;/a&gt; - aims to make AI accessible to everyone&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="find-practical-information-on-aiml"&gt;Find Practical Information on AI/ML&lt;/h2&gt;
&lt;p&gt;&lt;img loading="lazy" src="https://datathrillz.com/images/practical.png"&gt;&lt;/p&gt;</description></item></channel></rss>