
Attend this concentrated course to understand when to apply supervised or unsupervised machine learning models. Learn how to prepare data for each and translate results for organizational consumption and benefit. This course will demonstrate how real-world projects often combine different kinds modeling methods. Although the predictive power of these machine-learning models can be very impressive, there is no benefit unless they inform value-focused actions. The instructor will show how to deploy and interpret machine learning models with an eye toward decisioning automation, adoption and residual impact.