Machine Learning Models to Interpretable Rules
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore machine learning models that function as decision rules with if-then-else constructs in this 47-minute webinar from Open Data Science. Learn how distilling knowledge into rulelists and rulesets provides an interpretable overview of the decision-making process, leading to clearer interventions and explanations for outliers. Dive into hands-on use cases utilizing 'imodels' (Python package for rule-based models) and 'tidyrules' (R package for ruleset manipulation and post-hoc reordering and pruning). Discover utilities for converting rulesets into SQL for production environments. Gain insights into the importance of explainability in machine learning and its practical applications across various scenarios.