<div>
  <p></p>

<p>Mark Ryan is the lead Data Scientist for an insurance company in Toronto. He walks us through the ins and outs of structured data, how to manage it, and how to build Machine Learning systems. His book walks the reader through building a system that predicts whether bus routes in Toronto will be late using public domain data.</p>

<p></p>

<h2>Panel</h2>

<p></p>

<ul>
    <li>Charles Max Wood</li>
</ul>

<p></p>

<h2>Guest</h2>

<p></p>

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

<p></p>

<h2>Sponsors</h2>

<p></p>

<ul>
    <li><a href="http://192.81.209.174/learnML" rel="nofollow">Machine Learning for Software Engineers by Educative.io</a></li>
    <li><a href="http://www.audibletrack.com/click.track?ADID=454213&AFID=475401&CID=102175&SID=%26%2339%3B%26gt%3B" rel="nofollow">Audible.com</a></li>
</ul>

<p></p>

<h2>Links</h2>

<p></p>

<ul>
    <li><a href="https://openai.com/blog/openai-api/" rel="nofollow">OpenAI</a></li>
    <li><a href="https://rasa.com/" rel="nofollow">Rasa</a></li>
    <li><a href="https://keras.io/" rel="nofollow">Keras</a></li>
</ul>

<p></p>

<h2>Picks</h2>

<p></p>

<ul>
    <li>Chuck -<a href="http://podcastgrowthsummit.co" rel="nofollow"> Podcast Growth Summit</a>
</li>
    <li>Chuck-Most Valuable Dev</li>
    <li>Chuck-<a href="https://www.audible.com/series/Wheel-of-Time-Audiobooks/B005NB81EI" rel="nofollow"> Wheel of Time</a> by Robert Jordan</li>
    <li>Mark - <a href="https://www.imdb.com/title/tt0086807/" rel="nofollow">Spitting Image</a>
</li>
</ul>

<p></p>
</div>

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ML 015: Extracting Value from Data with Alexey Grigorev

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.