723: Mathematical Optimization, with Jerry Yurchisin

Super Data Science: ML & AI Podcast with Jon Krohn - A podcast by Jon Krohn

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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. This episode is brought to you by the Zerve data science dev environment (https://zerve.ai), the Decision Intelligence Leader, by ODSC (https://odsc.com), the Open Data Science Conference, and by CloudWolf (https://www.cloudwolf.com/sds), the Cloud Skills platform. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information. In this episode you will learn: • What mathematical optimization is [04:27] • How Gurobi solver works [29:01] • How to use Gurobi with Python [36:08] • Coding and algebra resources [41:14] • When to use mathematical optimization and machine learning together [54:23] • Using mathematical optimization in natural language processing [1:01:00] Additional materials: www.superdatascience.com/723