The Central Limit Theorem for Medians
Details
This event will be in person. We expect to have food and networking at 6:30pm ET and the talk to start at 7pm ET.
We will try to add an online streaming option if the space and hardware will accommodate. Check back here at 6:45pm ET on the evening of the event and if there's a link here, then that's an option. If there's not, then it's not. Same goes for recording. :)
Description
Most data scientists are familiar with the central limit theorem and its applications in data science, but can the same be said for medians instead of means? In this presentation you will see an informal proof and learn how to calculate close approximations of medians using its logic. You'll see how this technique can be used to approximate medians on big data without reading everything into memory.
Bio
Llewellyn Jones is a data scientist with Accenture, previously a data journalist and programmer with a background in mathematics.
