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Where Data Meets Decisions: Combining Data Science and Mathematical Optimization

Data science is used to help improve decision-making, and is now applied to nearly all industries, academic research and curriculum that require enhanced decision-making with complexity. This webinar will explore how mathematical optimization is an invaluable tool to enhance decision-making and how it works seamlessly with machine learning to help problem solvers get the most out of their well-tuned predictive models.

In this webinar, we will deliver:

  • A brief introduction to math optimization and its use cases.
  • A new modeling example in action that truly takes you from data to optimal decisions.
  • An example from Gurobi’s set of ready-to-solve models, where you can use optimization with no prior experience.
  • All learning material Gurobi has made freely available for anyone to use.
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Meet the Experts

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Jerry Yurchisin

Data Science Strategist

Jerry Yurchisin

Data Science Strategist

Mr. Yurchisin has over ten years’ experience applying operations research, machine learning, statistics, and data visualization to improve decision making. Before joining Gurobi, Jerry (who also goes by Jerome) was a Senior Consultant at OnLocation, Inc. where he customized several linear programming models within the National Energy Modeling System (NEMS) to analyze implementing specific energy policies and utilizing new technologies.

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