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....

Learn More Decision Optimization Deployment - https://ibm.co/32LioCm
Launch interactive demo - https://ibm.co/2GojASO
IBM Decision Optimization for Watson Studio Content Hub - http://bit.ly/2W9EGx5
Sample Notebook - https://ibm.co/2YhWZBq

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