Confidence Scores Explained
Nate discusses the intricate process of training a data science model to assign confidence scores, emphasizing the importance of collaboration across various teams. He highlights the challenges of normalizing vast amounts of data from different sources and the necessity of establishing a reliable truth set through direct engagement with providers. The conversation underscores how product management plays a crucial role in defining and understanding "truth" in data.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 561: Engineering Data APIs — with Nate Fox
Related Questions