723: Mathematical Optimization — with Jerry Yurchisin

#MathematicalOptimization #DataScience #DecisionMaking

Mathematical optimization should be known to every data scientist: @JonKrohnLearns speaks to Jerry Yurchisin, Data Science Strategist at Gurobi, the decision-making technology and best-kept secret of 80% of America’s leading enterprises. Jerry also gives his top recommendations for anyone who wants to get started with mathematical optimization, whatever your preferred programming language may be.

In this episode you will learn:
• [00:00:00] Introduction
• [00:02:55] What mathematical optimization is
• [00:27:23] How Gurobi solver works
• [00:34:31] How to use Gurobi with Python
• [00:39:37] Coding and algebra resources
• [00:52:46] When to use mathematical optimization and machine learning together
• [00:59:23] Using mathematical optimization in natural language processing

[lalithkothapalli]

Do not skip the episode. It is a gem! Thanks John and Jerry for clarifying that math optimizations are still very much relevant and have plenty of applications in todays world. Great insights!

[mabenba]

This episode was mindblowing. I can't wait to learn more about mathematical optimization.

For anyone reading this comment, in the superdatascience link in the video description you will find that the link to "Model Building in Mathematical Programming" is a downloadable resource to the pdf of the book. Awesome!!

Thanks for this amazing episode.

[maishamahboob]

This is such an important episode, I had a query, when we work with Physics informed Neural Network, can we call it Mathematical Optimizers too?