How low-code machine learning can power responsible AI

Brandon McGee

4 years ago

“Low-code machine learning is gaining popularity with tools like PyCaret, H2O.ai and DataRobot, allowing data scientists to run pre-canned patterns for feature engineering, data cleansing, model development and statistical performance comparison. However, often the missing pieces of these packages are patterns around responsible AI that evaluates ML models for fairness, transparency, explainability, causality and more.”