<div>
  <div>Today on the show, the panel discusses time series models, practical tips and tricks, and shares stories and examples of various models and the processes for optimal application in your ML workflows.<br><br>
</div><h1>In this episode…</h1><div><br></div><ul>
<li>Ben’s time series model for sales forecasting</li>
<li>The flat line model</li>
<li>Examples using time series models</li>
<li>Understanding your data</li>
<li>Lag functions and moving averages </li>
<li>Signal processing in models</li>
<li>Manually adding change points</li>
<li>Deep learning in time series models <br><br>
</li>
</ul><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>
</ul>
</div>

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Distributed Time Series in Machine Learning - ML 088

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.