Use Watson Knowledge Studio to build a custom machine learning model in the medical domain

One of the key benefits of building a machine learning annotator is the ability to train Watson in a complex domain such as medicine. Learn the methodology, standard practices, and guiderails on how to go about building an effective ML model. Steps include data understanding, type system building, pre-annotation, and deployment to WDS. After this session, you will have an acute understanding of what goes behind building an effective ML model.



(Source: IBM Watson, https://www.youtube.com/watch?v=7JrX3EnzERI)