<?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>Machine-Learning on Diractions Consulting - Harald Hagenaars</title>
    <link>https://diractions.eu/tags/machine-learning/</link>
    <description>Recent content in Machine-Learning on Diractions Consulting - Harald Hagenaars</description>
    <generator>Hugo -- 0.148.0</generator>
    <language>en-us</language>
    <lastBuildDate>Wed, 11 Feb 2026 00:00:00 +0000</lastBuildDate>
    <atom:link href="https://diractions.eu/tags/machine-learning/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>A framework for selecting sensor data sources in a fast-moving company</title>
      <link>https://diractions.eu/posts/2026-02-decision-making/</link>
      <pubDate>Wed, 11 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://diractions.eu/posts/2026-02-decision-making/</guid>
      <description>Effective sensor selection isn&amp;rsquo;t about deep research; it&amp;rsquo;s about making fast, disciplined decisions that control commitment and protect your company’s strategic freedom.</description>
    </item>
    <item>
      <title>The crucial role of data labeling in machine learning</title>
      <link>https://diractions.eu/posts/2023-04-divi-pipeline/</link>
      <pubDate>Mon, 27 Nov 2023 00:00:00 +0000</pubDate>
      <guid>https://diractions.eu/posts/2023-04-divi-pipeline/</guid>
      <description>Data labeling is essential for training AI in autonomous systems, balancing manual and automated methods while addressing privacy, accuracy, and scalability challenges.</description>
    </item>
    <item>
      <title>Navigating the challenges of data capture in mobile robotics</title>
      <link>https://diractions.eu/posts/2023-03-divi-pipeline/</link>
      <pubDate>Mon, 20 Nov 2023 00:00:00 +0000</pubDate>
      <guid>https://diractions.eu/posts/2023-03-divi-pipeline/</guid>
      <description>Outlining key challenges in real-world data capture—like occlusion, lighting, dust, and poor calibration.</description>
    </item>
    <item>
      <title>The technical terrain of capturing data within mobile robotics</title>
      <link>https://diractions.eu/posts/2023-02-divi-pipeline/</link>
      <pubDate>Mon, 13 Nov 2023 00:00:00 +0000</pubDate>
      <guid>https://diractions.eu/posts/2023-02-divi-pipeline/</guid>
      <description>This post examines key sensor technologies for automation and their trade-offs, while also addressing cybersecurity, data processing, and the widespread underuse of captured sensor data.</description>
    </item>
    <item>
      <title>Defining data in the age of automating mobility</title>
      <link>https://diractions.eu/posts/2023-01-divi-pipeline/</link>
      <pubDate>Mon, 06 Nov 2023 00:00:00 +0000</pubDate>
      <guid>https://diractions.eu/posts/2023-01-divi-pipeline/</guid>
      <description>This first DIVI post defines Data as raw sensor input essential for automation, stressing its quality and fusion as key to reliability.</description>
    </item>
  </channel>
</rss>
