#machine learning

Deep learning uses artificial neural networks to process massive data sets through binary logic, improving accuracy as systems process more data and remember patterns. Already powering Netflix content recommendations, Facebook image classification (inspect your profile picture to see detected tags), and Google Translate improvements. Medical applications in development promise to improve diagnosis accuracy beyond current 10-20 percent error rates and create gene-tailored medicine for individual genetic makeups.

Human in the loop describes machine learning systems that require human intervention when automated confidence falls below acceptable thresholds, combining computer efficiency with human judgment for optimal business process automation.