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    <h1 class="post-title">The 2020 State of Engineering Practices for Machine Learning</h1>
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    <p>In <strong>The 2020 State of Engineering Practices for Machine Learning</strong> we present the findings of our global survey among ML teams.</p>

<p>Our study revealed:</p>

<ul>
  <li>which engineering practices <strong>are most adopted</strong></li>
  <li><strong>what teams</strong> are leading in practice adoption</li>
  <li><strong>which effects</strong> are obtained with which practices</li>
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<p><a href="/assets/pdf/The 2020 State of Engineering Practices Machine Learning.pdf" target="_blank">Click to download the report.</a></p>

<p>The practices from the survey are described in more detail in our online <a href="/practices">catalogue of ML engineering best practices</a>.</p>

<p>More details about our survey methodology and statistical analysis are available in the scientific article <a href="/publications">Adoption and Effects of Software Engineering Best Practices in Machine Learning</a>.</p>

<p>To contribute to future versions of our survey report, please <a href="/survey">take the survey</a>!</p>


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