Machine Vision Limitations
Machines excel in analyzing common tumor types due to extensive training data, but they struggle with rare cases where human expertise shines. Both Jon and Tom discuss the challenges posed by limited training data for uncommon cancers, emphasizing the need for confidence scores in AI diagnostics. They also touch on the importance of unit testing in machine learning models to enhance reliability and performance.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
647: Is Data Science Still Sexy? — with Tom Davenport
Related Questions