<div>
  

<p>Mark Ryan is our first returning guest to the Adventure. He has created a video series for Manning showing how to use Machine Learning for Tabular data.</p>





<p>He walks Ben Wilson through the ins and outs of applying Deep Learning to tabular data sets and the how to find instances where this practice might be the right solution.</p>





<h2>Panel</h2>





<ul><li>Ben Wilson</li></ul>





<h2>Guest</h2>





<ul><li>Mark Ryan</li></ul>





<h2>Sponsors</h2>





<ul><li><a href="http://devchat.tv/influencers" rel="nofollow">Dev Influencers Accelerator</a></li></ul>





<h2>Links</h2>





<ul>
<li><a href="https://www.manning.com/books/deep-learning-with-structured-data" rel="nofollow">Deep Learning with Structured Data | Manning</a></li>
<li><a href="https://www.manning.com/liveproject/prepare-tabular-data" rel="nofollow">Prepare Tabular Data | Manning</a></li>
<li><a href="https://www.youtube.com/channel/UC33c02d4_ssg0tGO3EXKG8g" rel="nofollow">Mark Ryan - YouTube</a></li>
<li><a href="https://github.com/ryanmark1867" rel="nofollow">GitHub: Mark Ryan ( ryanmark1867 )</a></li>
<li><a href="https://twitter.com/MarkRyanMkm" rel="nofollow">Twitter: Mark Ryan ( @MarkRyanMkm )</a></li>
</ul>





<p>Contact Ben:</p>





<ul>
<li><a href="https://databricks.com/" rel="nofollow">Databricks</a></li>
<li><a href="https://github.com/BenWilson2/ML-Engineering" rel="nofollow">GitHub | BenWilson2/ML-Engineering</a></li>
<li><a href="https://github.com/databrickslabs/automl-toolkit" rel="nofollow">GitHub | databrickslabs/automl-toolkit</a></li>
<li><a href="https://www.linkedin.com/in/benjamin-wilson-arch/" rel="nofollow">LinkedIn: Benjamin Wilson</a></li>
</ul>

<p>Special Guest: Mark Ryan.</p>
</div>

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Writing Production Code for ML ft. Ken Youens-Clark - ML 041

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.