Study Findings from State University of New York (SUNY) Buffalo Broaden Understa nding of Machine Learning (Pygrf: an Improved Python Geographical Random Forest Model and Case Studies In Public Health and Natural Disasters)

Robotics & Machine Learning Daily News2024，Issue(Oct.10) ：11-12.

来源：

NETL
NSTL

Study Findings from State University of New York (SUNY) Buffalo Broaden Understa nding of Machine Learning (Pygrf: an Improved Python Geographical Random Forest Model and Case Studies In Public Health and Natural Disasters)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news originating from Buffalo, New York, by NewsRx correspondents, research stated, “Geographical random forest (GRF) is a recently developed and spatially explicit machine learning model. With the ability to pr ovide more accurate predictions and local interpretations, GRF has already been used in many studies.” Funders for this research include National Science Foundation (NSF), National Sc ience Foundation (NSF).

Key words

Buffalo/New York/United States/North and Central America/Cyborgs/Emerging Technologies/Health and Medicine/Machin e Learning/Public Health/State University of New York (SUNY) Buffalo

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航