README.md

Part 4: Optimizing schedules, allocations and plans through multiple programming models with Nerav Doshi

Learn to use tools to develop DO models - There are plenty of tools on the market to develop and solve optimization models, including some open source ones. IBM offers two ways to start learning DO at no cost: Decision Optimization for Watson Studio (DO for WS) and CPLEX Optimization Studio (COS).

Basic notebook for getting familiar with Decision Optimization

• Simple notebooks - Basic 101 optimization concepts

LAB for using predictive and prescriptive analytics using Watson Studio and Watson Machine Learning

• Market Campaign use case using only notebooks

LAB for end to end solution with Data refinery,SPSS and Decision Optimization

• Instructions to complete the lab on assigning resources for COVID19

Additional material to get familiar with

• Demo collection for DO in WS, videos, product tours and hands-on lab from Nerav Doshi, Digital Technical Engagement at IBM.
• Experiment with docplex API – Reserve an instance

Python docplex

Tutorials

• Linear Programming Tutorial notebook part 1.
• Linear Programming Tutorial notebook part 2.
• Scheduling Tutorial notebook

Complete documentation

• IBM Decision Optimization Modeling for Python (DOcplex) documentation, the official docplex documentation including reference manuals.