Nina Zumel and John Mount will be speaking at the online University of San Francisco Seminar Series in Data Science!
How and why to use probability models to outperform decision rules
Friday April 30, 2021
12:30pm – 2pm Pacific Time
See here for full details and to RSVP
In this talk we will argue why it’s more effective to use probability models rather than hard classification rules for classification and decision problems. We will show how to work with probabilities, and demonstrate effective methods to evaluate and present probability models. We end with a nice system for later picking decision thresholds that maximize business utility. Example code will be in Python.
We hope to (virtually) see you there!
Categories: Pragmatic Data Science Public Service Article Tutorials
Data scientist with Win Vector LLC. I also dance, read ghost stories and folklore, and sometimes blog about it all.