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Optimization 101 for Data Scientists

Optimization 101 for Data Scientists

A two-day, hands-on introduction to mathematical optimization for data scientists.

A two-day, hands-on introduction to mathematical optimization for data scientists.

Overview

Optimization 101 for Data Scientists is an introductory, two-day hands-on training created with Gurobi Optimization. The program covers the fundamentals of mathematical optimization, how optimization fits within analytics, and how optimization and machine learning can work together. Participants use Python and Jupyter notebooks to build a practical bike-share station rebalancing application using machine learning-based forecasts.

Key Takeaways

  • Core concepts in mathematical optimization

  • How optimization and machine learning relate in analytics workflows

  • How to build a practical optimization model in Python and Jupyter

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