Let the Machine THINK for You
summary
IBM Watson Machine Learning (WML) is presented as a service for building, deploying, scoring and managing ML models to let non-expert personas use predictive capabilities with minimal coding. The session demonstrates WML’s model-flow UI and self-learning/personalization features through a specific business case study, and outlines the platform architecture for developers to understand design and deployment at scale.
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chapters (5)
- 0:00Start
- 1:28Disruption by Machine Learning
- 2:42Various ways to apply Machine Learning
- 7:00Development Architecture of a Machine Learning Platform
- 11:12One Simple ML Problem
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