Outperforming Real-world Data with Synthetic Data (Presented by Gretel)
, Co-founder and Chief Product Officer, Gretel
If there are biases in the real world, they're often magnified in the virtual world. These same challenges apply to training machine learning (ML) models that increasingly control critical decisions in our lives such as whether we get hired for a job, or in ML algorithms to detect heart disease. We’ll run a workshop and code diving into using generative synthetic models to augment and even replace real-world machine learning datasets to increase privacy, accuracy, and fairness.