<div>
  <div>In this show, we cover some practical tips for writing reliable ML code. Here are some of the questions we look to answer...<br><br>
</div><ol>
<li>What are tests and why should you use them?</li>
<li>What&#39;s the difference between unit tests and integration tests?</li>
<li>What should you test?</li>
<li>How should you write tests in python? (the answer is to use pytest)</li>
</ol><div><br></div><h1>Sponsors</h1><ul>
<li><a href="https://topenddevs.com/" rel="nofollow">Top End Devs</a></li>
<li><a href="https://topenddevs.com/coaching" rel="nofollow">Coaching | Top End Devs</a></li>
<li>Enov8, who provides <a href="https://www.enov8.com/blog/test-data-management-in-depth-the-what-and-the-how/" rel="nofollow">test data management</a>
</li>
</ul><div><br></div>
</div>

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How to Simplify Data Science with DagsHub Founders - ML 092

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.