>”But Watson won’t change its conclusions based on just four patients. To solve this problem, the Sloan Kettering experts created “synthetic cases” that Watson could learn from, essentially make-believe patients with certain demographic profiles and cancer characteristics.”
Is this standard practice in machine learning? This sounds more like regular programming to get exactly the outcome you want.
Is this standard practice in machine learning? This sounds more like regular programming to get exactly the outcome you want.