Date(s) - 2018-Mar-14
1:00 pm EST - 2:00 pm EST
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Attend / Register for this event: http://ibm.biz/dwlive024-reg
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.
Visit the event page to learn more about this event: http://ibm.biz/dwlive024