Beginner
conference talk

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

Ehsan Khodabandeh
Principal
Decision Spot

Decision Spot
Team Decision Spot
www.decisionspot.com
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