IBM Watson Machine Learning enables you to deploy your Decision Optimization prescriptive model and associated master data once and then submit job requests to this deployment with only the related input data. In this video we use a Jupyter notebook to access machine learning service, deploy optimization models, submit and monitor jobs.
Create a Watson Machine Learning (WML) Service instance. A free plan is offered and information about how to create the instance can be found at https://dataplatform.cloud.ibm.com/do....
Additional Videos
Develop and deploy machine learning and optimization models using IBM Watson Studio and Watson Machine Learning
https://youtu.be/YeOYKq2uiLk Introduction to Decision Optimization for Watson Studio
https://youtu.be/tRde7foyKdg IBM Decision Optimization Interface within Watson Studio - Python model
https://youtu.be/I6sCjkBqzRY