Embracing Uncertainty
Hilary provocatively argues that data scientists often shy away from projects lacking clear quantitative metrics, yet many valuable products thrive in this ambiguity. She highlights the importance of exploring messy problems that don't conform to traditional notions of correctness, suggesting that untapped opportunities lie within these complexities. The conversation challenges the audience to rethink their approach to data-driven solutions.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
SDS 589: Narrative A.I. — with Hilary Mason
Related Questions