Visualization Best Practices for Explainable AI
Dive deeper into understanding and explaining machine learning terms and charts to business stakeholders using Jupyter Notebooks, Python, and Power BI in this 58-minute conference talk from PASS Data Community Summit. Explore real-world examples from healthcare, retail, marketing, banking, and other industries while learning about the differences between machine learning and artificial intelligence, automated machine learning processes, and the importance of explainable AI. Discover techniques for visualizing model workings, investigating training data, exploring variable relationships, examining decision rules, analyzing prediction explanations, evaluating model performance, and detecting model changes over time. Gain valuable insights into visualization best practices for explainable AI to effectively communicate complex machine learning concepts to non-technical audiences.