723: Mathematical Optimization, with Jerry Yurchisin

<p>Mathematical optimization should be known to every data scientist: Jon Krohn speaks to Jerry Yurchisin, Data Science Strategist at Gurobi, the decision-making technology and best-kept secret of 80% of America’s leading enterprises.<br/><br/>This episode is brought to you by the <a href='https://www.zerve.ai/'>Zerve</a> data science dev environment,  by <a href='https://odsc.com/'>ODSC</a>, the Open Data Science Conference, and by <a href='http://www.cloudwolf.com/sds'>CloudWolf</a>, the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit <a href='https://jonkrohn.com/podcast'>JonKrohn.com/podcast</a> for sponsorship information.<br/><br/>In this episode you will learn:<br/>• What mathematical optimization is [04:27]<br/>• How Gurobi solver works [29:01]<br/>• How to use Gurobi with Python [36:08]<br/>• Coding and algebra resources [41:14]<br/>• When to use mathematical optimization and machine learning together [54:23]<br/>• Using mathematical optimization in natural language processing [1:01:00]<br/><br/>Additional materials: <a href='https://www.superdatascience.com/723'>www.superdatascience.com/723</a></p>