<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" encoding="UTF-8" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:admin="http://webns.net/mvcb/" xmlns:atom="http://www.w3.org/2005/Atom/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:googleplay="http://www.google.com/schemas/play-podcasts/1.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:fireside="http://fireside.fm/modules/rss/fireside">
  <channel>
    <fireside:hostname>app01</fireside:hostname>
    <fireside:genDate>Wed, 04 Nov 2026 07:32:26 +0000</fireside:genDate>
    <generator>Fireside (https://fireside.fm)</generator>
    <title>Artists of Intelligence with Harpreet Sahota - Episodes Tagged with “How To”</title>
    <link>https://harpreet.fireside.fm/tags/how%20to</link>
    <pubDate>Sun, 25 Jul 2021 00:00:00 -0400</pubDate>
    <description>I’m relaunching the show with a different focus. It’s called Artists of Intelligence. It’s about the people building physical AI, robotics, perception, and autonomous systems. I’m not here pretending to be an expert who has it all figured out. I’m here because I want to learn, hack on things, and see how intelligent machines actually work in the real world. Before I record with anyone, I like to get hands-on with what they’re building—an open repo, a dataset, an SDK, or a demo. I play around with it and break things beforehand so we can skip the introductory fluff and have an honest conversation about how it works, what broke along the way, and what it actually takes to build. Formerly The Artists of Data Science.</description>
    <language>en-us</language>
    <itunes:type>episodic</itunes:type>
    <itunes:subtitle>~/artists_of_intelligence</itunes:subtitle>
    <itunes:author>Harpreet Sahota</itunes:author>
    <itunes:summary>I’m relaunching the show with a different focus. It’s called Artists of Intelligence. It’s about the people building physical AI, robotics, perception, and autonomous systems. I’m not here pretending to be an expert who has it all figured out. I’m here because I want to learn, hack on things, and see how intelligent machines actually work in the real world. Before I record with anyone, I like to get hands-on with what they’re building—an open repo, a dataset, an SDK, or a demo. I play around with it and break things beforehand so we can skip the introductory fluff and have an honest conversation about how it works, what broke along the way, and what it actually takes to build. Formerly The Artists of Data Science.</itunes:summary>
    <itunes:image href="https://cdn.fireside.fm/file/fireside-images-2024/podcasts/images/7/7086fae3-a152-4774-962c-4eaeba52bbdb/cover.jpg?v=9"/>
    <itunes:explicit>no</itunes:explicit>
    <itunes:keywords>physical ai, robotics, autonomous systems, spatial ai, computer vision, embodied ai, sensor fusion, agents</itunes:keywords>
    <itunes:owner>
      <itunes:name>Harpreet Sahota</itunes:name>
      <itunes:email>hello@employabledatascientist.com</itunes:email>
    </itunes:owner>
<itunes:category text="Technology"/>
<itunes:category text="Science"/>
<itunes:category text="News">
  <itunes:category text="Tech News"/>
</itunes:category>
<item>
  <title>Data Science Happy Hour 42 | 23JUL2021</title>
  <link>https://harpreet.fireside.fm/hh42</link>
  <guid isPermaLink="false">cc505e49-2d7c-4506-99e0-e57de32cfdce</guid>
  <pubDate>Sun, 25 Jul 2021 00:00:00 -0400</pubDate>
  <author>Harpreet Sahota</author>
  <enclosure url="https://aphid.fireside.fm/d/1437767933/7086fae3-a152-4774-962c-4eaeba52bbdb/cc505e49-2d7c-4506-99e0-e57de32cfdce.mp3" length="92843994" type="audio/mpeg"/>
  <itunes:episodeType>full</itunes:episodeType>
  <itunes:season>14</itunes:season>
  <itunes:author>Harpreet Sahota</itunes:author>
  <itunes:subtitle>Data Science community in-depth discussion about artificial intelligence and data science. How to become a data scientist. </itunes:subtitle>
  <itunes:duration>1:50:30</itunes:duration>
  <itunes:explicit>yes</itunes:explicit>
  <itunes:image href="https://cdn.fireside.fm/file/fireside-images-2024/podcasts/images/7/7086fae3-a152-4774-962c-4eaeba52bbdb/episodes/c/cc505e49-2d7c-4506-99e0-e57de32cfdce/cover.jpg?v=1"/>
  <description>&lt;p&gt;Vote in the data community content creators awards! &lt;a href="http://bit.ly/data-creators-awards" rel="nofollow noopener"&gt;http://bit.ly/data-creators-awards&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Check it out and don't forget to register for future office hours: &lt;a href="http://bit.ly/adsoh" rel="nofollow noopener"&gt;http://bit.ly/adsoh&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Register for Sunday Sessions here: &lt;a href="http://bit.ly/comet-ml-oh" rel="nofollow noopener"&gt;http://bit.ly/comet-ml-oh&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The Artists of Data Science YouTube: &lt;a href="https://www.youtube.com/c/TheArtistsofDataScience" rel="nofollow noopener"&gt;https://www.youtube.com/c/TheArtistsofDataScience&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;a href="https://www.instagram.com/theartistsofdatascience/" rel="nofollow noopener"&gt;https://www.instagram.com/theartistsofdatascience/&lt;/a&gt;&lt;br&gt;
&lt;a href="https://facebook.com/TheArtistsOfDataScience" rel="nofollow noopener"&gt;https://facebook.com/TheArtistsOfDataScience&lt;/a&gt;&lt;br&gt;
&lt;a href="https://twitter.com/ArtistsOfData" rel="nofollow noopener"&gt;https://twitter.com/ArtistsOfData&lt;/a&gt;&lt;/p&gt;</description>
  <itunes:keywords>data, science, mentor, how to learn data science, learn, careers, in, machine learning, ai, artificial intelligence, harpreet sahota, jobs, analytics</itunes:keywords>
  <content:encoded>
    <![CDATA[<p>Vote in the data community content creators awards! <a href="http://bit.ly/data-creators-awards" rel="nofollow noopener">http://bit.ly/data-creators-awards</a></p>

<p>Check it out and don't forget to register for future office hours: <a href="http://bit.ly/adsoh" rel="nofollow noopener">http://bit.ly/adsoh</a></p>

<p>Register for Sunday Sessions here: <a href="http://bit.ly/comet-ml-oh" rel="nofollow noopener">http://bit.ly/comet-ml-oh</a></p>

<p>The Artists of Data Science YouTube: <a href="https://www.youtube.com/c/TheArtistsofDataScience" rel="nofollow noopener">https://www.youtube.com/c/TheArtistsofDataScience</a></p>

<p><a href="https://www.instagram.com/theartistsofdatascience/" rel="nofollow noopener">https://www.instagram.com/theartistsofdatascience/</a><br>
<a href="https://facebook.com/TheArtistsOfDataScience" rel="nofollow noopener">https://facebook.com/TheArtistsOfDataScience</a><br>
<a href="https://twitter.com/ArtistsOfData" rel="nofollow noopener">https://twitter.com/ArtistsOfData</a></p>]]>
  </content:encoded>
  <itunes:summary>
    <![CDATA[<p>Vote in the data community content creators awards! <a href="http://bit.ly/data-creators-awards" rel="nofollow noopener">http://bit.ly/data-creators-awards</a></p>

<p>Check it out and don't forget to register for future office hours: <a href="http://bit.ly/adsoh" rel="nofollow noopener">http://bit.ly/adsoh</a></p>

<p>Register for Sunday Sessions here: <a href="http://bit.ly/comet-ml-oh" rel="nofollow noopener">http://bit.ly/comet-ml-oh</a></p>

<p>The Artists of Data Science YouTube: <a href="https://www.youtube.com/c/TheArtistsofDataScience" rel="nofollow noopener">https://www.youtube.com/c/TheArtistsofDataScience</a></p>

<p><a href="https://www.instagram.com/theartistsofdatascience/" rel="nofollow noopener">https://www.instagram.com/theartistsofdatascience/</a><br>
<a href="https://facebook.com/TheArtistsOfDataScience" rel="nofollow noopener">https://facebook.com/TheArtistsOfDataScience</a><br>
<a href="https://twitter.com/ArtistsOfData" rel="nofollow noopener">https://twitter.com/ArtistsOfData</a></p>]]>
  </itunes:summary>
</item>
  </channel>
</rss>
