More New Python Notebook Examples that Combine Data Science and Mathematical Optimization

How can you use different prediction models for price optimization and to keep avocado toast on your breakfast menu? How can you identify plagiarism with text similarity? How can you effectively plan for airline disruption in a time of continual flight delays and cancelations?

By combining data science tools and mathematical optimization.
In this session, Gurobi will introduce several of our newest (and free) educational examples that students and instructors can use to learn and teach real-world applications of combined data science and optimization problem solving. We will review our new data science library of Python Notebook Examples that combine data science tools and prescriptive analytics and offer new data science learners an entry point into problem-solving with optimization.

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Gurobi 10.0 Delivers Blazing-Fast Speed, Innovative Data Science Integration, and an Enterprise Development and Deployment Experience
Latest release enables data professionals to easily integrate machine learning models into optimization models to solve new types of problems.
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Webinar: What’s New in Gurobi 10.0
In this webinar, attendees will get a first look at our upcoming product release, Gurobi 10.0. We will summarize the performance improvements and highlight some of the underlying algorithmic advances, such as the network simplex algorithm, enhancements in concurrent LP, and optimization based bound tightening.
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Cost Savings & Business Benefits for Gurobi Customers
2022 Total Economic Impact™ Study Reveals A 518% ROI with Gurobi
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