is the ability for data scientists to produce applicable results for their peers, managers, and end users. Can your results be understood and applied by other data scientists and stakeholders? It is up to you as a data scientist to use your business knowledge, mathematical, and programmatic skills to communicate your findings and methods. Explainability is an important tool used to make your reasoning behind each decision transparent and repeatable.
March 17, 2020 - May 1, 2020
IBM
Online
