SDS 573: Automating ML Model Deployment

<p>In this episode, co-founder and CEO of Linea, Dr. Doris Xin, joins Jon Krohn to discuss how automating ML model deployment delivers groundbreaking change to data science productivity, and shares what it&apos;s like being the CEO of an exciting, early-stage tech start-up.</p><p>In this episode you will learn:<br/>• How Linea reduces ML model deployment down to a couple of lines of Python code [5:14]<br/>• Linea use cases [11:30]<br/>• How DAGs can 10x production workflow efficiency [22:12]<br/>• ML model graphlets and reducing wasted computation [24:14]<br/>• What future Doris envisions for autoML [35:23]<br/>• Doris’s day-to-day life as a CEO of an early-stage start-up [42:43]<br/>• What Doris looks for in the engineers and data scientists that she hires [52:21]<br/>• The future of Data Science and how to prepare best for it [53:58]</p><p>Additional materials: <a href='https://gate.sc/?url=http%3A%2F%2Fwww.superdatascience.com%2F573&amp;token=1d4690-1-1652096257893'>www.superdatascience.com/573</a></p>