<?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>Alexa on Drentin's Findings</title><link>https://drentin.au/tags/alexa/</link><description>Recent content in Alexa on Drentin's Findings</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 13 Sep 2021 23:29:11 +1000</lastBuildDate><atom:link href="https://drentin.au/tags/alexa/index.xml" rel="self" type="application/rss+xml"/><item><title>ML with an AWS DeepLens: First figure out how to do... anything!</title><link>https://drentin.au/posts/first-figure-out-how-to-do/</link><pubDate>Mon, 13 Sep 2021 23:29:11 +1000</pubDate><guid>https://drentin.au/posts/first-figure-out-how-to-do/</guid><description>&lt;h1 id="beginnings-start-here"&gt;Beginnings start here!&lt;/h1&gt;
&lt;p&gt;Hello all and welcome to my first article around my attempts to create an Amazon SageMaker-based solution, focusing on image detection.&lt;/p&gt;
&lt;p&gt;I am participating in an initiative as part of my company&amp;rsquo;s AWS Community of Practice. The idea is inspired loosely by &lt;a href="https://acloudguru.com/blog/engineering/how-to-build-a-netflix-style-recommendation-engine-with-amazon-sagemaker"&gt;A Cloud Guru&amp;rsquo;s How to Build a Netflix Style Recommendation Engine with Amazon SageMaker Challenge&lt;/a&gt; and I have got my hands on an AWS DeepLens so I&amp;rsquo;m going to see what I can do with both of these to the best of my ability!&lt;/p&gt;</description></item></channel></rss>