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      <title>Article: Testing Machine Learning: Insight and Experience from Using Simulators to Test Trained Functionality</title>
      <link>https://www.infoq.com/articles/testing-machine-learning-simulators/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Simulation-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/testing-machine-learning-simulators/en/headerimage/testing-machine-learning-header-1709558228387.jpg"/&gt;&lt;p&gt;When testing machine learning systems, we must apply existing test processes and methods differently. Machine Learning applications consist of a few lines of code, with complex networks of weighted data points that form the implementation. The data used in training is where the functionality is ultimately defined, and that is where you will find your issues and bugs.&lt;/p&gt; &lt;i&gt;By Martin Karsberg&lt;/i&gt;</description>
      <category>Applied Research</category>
      <category>Artificial Intelligence</category>
      <category>Machine Learning</category>
      <category>Stories &amp; Case Studies</category>
      <category>Simulation</category>
      <category>Automated testing</category>
      <category>Data</category>
      <category>Domain Modeling</category>
      <category>Testing</category>
      <category>Culture &amp; Methods</category>
      <category>article</category>
      <pubDate>Thu, 07 Mar 2024 09:00:00 GMT</pubDate>
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      <dc:creator>Martin Karsberg</dc:creator>
      <dc:date>2024-03-07T09:00:00Z</dc:date>
      <dc:identifier>/articles/testing-machine-learning-simulators/en</dc:identifier>
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