Where Data Meets Decisions: Combining data science and mathematical optimization

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Presented by

Jerry Yurchisin, Data Science Strategist, Gurobi

About this talk

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. We’ll then wrap up by covering all the learning material Gurobi has made freely available for anyone to use. Don't miss out – let's dive into the world of data-driven decision-making together. Jerry has over a decade of experience in operations research, data science, and visualization, specializing in enhancing decision-making with data. Before joining Gurobi, Jerry worked in consulting at OnLocation, Inc. & Booz Allen where he supported numerous projects by building and customizing mathematical optimization models and leveraging machine learning, applied statistics, and simulation—all to support decision-making through data-driven narratives. Jerry also has a background in college-level mathematics instruction. Now, at Gurobi, Jerry aims to promote the integration of mathematical optimization into the data science and broader AI communities. Material covered during the presentation will be made available in the attachments tab beneath the video.
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