What criteria should be used to determine whether data are appropriate for machine learning? What are the roles of human?
In situations where machines cannot solve a problem, humans need to step in. This process results in the creation of a continuous feedback loop. The algorithm learns from the feedback and produces better results each time it is applied. Which best practices should be adopted during the feedback loop process? Here is Fano Labs' Vice President, Business Consulting - Terence Pong's experience and insights!
It is imperative to proof-read to increase machine learning accuracy. It is important for Business user and end user to do checking on the data relevancy and make sure all data are in scope.
Vice President, Business Consulting