Engaging Analytics & Humility to Mitigate Uncertainty

Machine learning models learn from historical data and use the patterns they discover to make predictions about new data.  In an ideal world where conditions are always consistent, it would be easy to have a great deal of confidence in every single prediction. But as we all know, especially today, consistency and stability are luxuries that we do not have. Humble AI In reality, most models will be tasked with scoring unusual, anomalous, or unexpected data at some point after they are... To continue reading this story Click Here