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<h1 id="simple-example-data-engineering">Simple example: data engineering<a class="anchor-link" href="#simple-example-data-engineering">&#182;</a></h1><p>Here, we solve a problem similar to the tutorial's but with an explainable Naive Bayes classifier and more best-practices. In short, we train a domain classifier on the <a href="https://api.semanticscholar.org/corpus">semantic scholar dataset</a> by taking full advantage of <code>great-ai</code>. Subsequently, we create a production-ready deployment.</p>
<h1 id="simple-example-data-engineering">Simple example: data engineering<a class="anchor-link" href="#simple-example-data-engineering">&#182;</a></h1><p>Here, we solve a problem similar to the tutorial's but with an explainable Naive Bayes classifier and more best practices. In short, we train a domain classifier on the <a href="https://api.semanticscholar.org/corpus">semantic scholar dataset</a> by taking full advantage of <code>great-ai</code>. Subsequently, we create a production-ready deployment.</p>
<p><img src="/media/scope-data.svg" alt="position of this step in the lifecycle"></p>
<blockquote><p>The blue boxes show the steps of a typical AI-development lifecycle implemented in this notebook.</p>
</blockquote>
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<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 16, 2022</span>
<span class="git-revision-date-localized-plugin git-revision-date-localized-plugin-date">July 24, 2022</span>
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