Causality 101 with Robert Osazuwa Ness - #342
Analysis
This article from Practical AI introduces a discussion on causality in machine learning. Robert Osazuwa Ness, a ML Research Engineer and Instructor, is the featured guest. The discussion covers the meaning of causality, its variations across different domains and users, and promotes an upcoming study group based on Ness's new course, "Causal Modeling in Machine Learning." The article serves as an announcement and a primer on the topic, directing readers to a community resource for further engagement.
Key Takeaways
Reference
“Causal Modeling in Machine Learning”