EPISODE · Dec 9, 2022 · 43 MIN
Kernel Density Estimation with Seaton Ullberg
from Rustacean Station
Allen Wyma talks with Seaton Ullberg, developer of kernel-density-estimation, a Rust library that computes kernel density estimations. Contributing to Rustacean Station Rustacean Station is a community project; get in touch with us if you’d like to suggest an idea for an episode or offer your services as a host or audio editor! Twitter: @rustaceanfm Discord: Rustacean Station Github: @rustacean-station Email: [email protected] Timestamps [@0:00] - Introduction [@0:55] - Crate overview and how it works [@17:49] - Kernel Density Estimation vs other competing algorithms [@24:05] - Application uses of Kernel Density Estimation [@33:38] - Why write this library [@35:03] - Why use Rust when re-writing this library [@40:26] - Seaton using f64 as a feature [@42:20] - Parting thoughts Credits Intro Theme: Aerocity Audio Editing: Plangora Hosting Infrastructure: Jon Gjengset Show Notes: Plangora Hosts: Allen Wyma
What this episode covers
Allen Wyma talks with Seaton Ullberg, developer of kernel-density-estimation, a Rust library that computes kernel density estimations.
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Kernel Density Estimation with Seaton Ullberg
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