Pragmatism in Machine Learning

Noam and Keith discuss the pragmatic approach in machine learning, emphasizing the importance of practicality over theoretical foundations. They delve into the challenges faced by the orthodox machine learning community and the need for a gentle push towards improvement while navigating around trigger words.