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      <title>Podcast: Real Time ML Pipelines Using Quix with Tomáš Neubauer</title>
      <link>https://www.infoq.com/podcasts/quix-real-time-ml-pipelines/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=IPython</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/quix-real-time-ml-pipelines/en/smallimage/InfoQ-Podcast-s-1682398508469.jpg"/&gt;&lt;p&gt;Tomáš Neubauer will talk about Quix Streams, an open-source Python library that simplifies real-time machine learning pipelines.  Tomáš will discuss various architecture designs, their pros and cons, and demonstrate a real use case of detecting a cyclist crash using Quix Streams and a TensorFlow model.&lt;/p&gt; &lt;i&gt;By Tomáš Neubauer&lt;/i&gt;</description>
      <category>IPython</category>
      <category>Data Pipelines</category>
      <category>Open Source</category>
      <category>The InfoQ Podcast</category>
      <category>Machine Learning</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 24 Apr 2023 20:17:00 GMT</pubDate>
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      <dc:creator>Tomáš Neubauer</dc:creator>
      <dc:date>2023-04-24T20:17:00Z</dc:date>
      <dc:identifier>/podcasts/quix-real-time-ml-pipelines/en</dc:identifier>
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