This hands-on training event will introduce mathematical optimization, the critical role it serves in analytics, and why it should be a part of every data scientists’ toolkit. Optimization experts will guide you through the basics and give you the tools to formulate and code a comprehensive application that will optimize rebalancing of bike-share stations using a machine learning-based forecast.

  • Discover math optimization and machine learning commonalities, differences, and how they work together
  • Guided exercises and examples in Jupyter notebooks hosted on Colab with instructor feedback for common questions
  • All work will be in done Python (but, Gurobi supports many other programming languages)
  • Sessions will be recorded and available on demand for schedule flexibility
  • Plus, attendees who complete the required sections of this training will earn a certificate of completion from Gurobi Optimization.



New at Gurobi

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.
 Learn More
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.
 Learn More
new content
Cost Savings & Business Benefits for Gurobi Customers
2022 Total Economic Impact™ Study Reveals A 518% ROI with Gurobi
 Learn More