Recent Research from University of Applied Sciences and Art Highlight Findings I n Machine Learning (Decoding the Future: Proposing an Interpretable Machine Lear ning Model for Hotel Occupancy Forecasting Using Principal Component Analysis)

Robotics & Machine Learning Daily News2024，Issue(Aug.1) ：51-51.

来源：

NETL
NSTL

Recent Research from University of Applied Sciences and Art Highlight Findings I n Machine Learning (Decoding the Future: Proposing an Interpretable Machine Lear ning Model for Hotel Occupancy Forecasting Using Principal Component Analysis)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Windisch, Switzerland , by NewsRx journalists, research stated, “Accurate hotel occupancyforecasting is vital for optimizing hotel revenue, yet interpretable machine learning tools lack extensiveresearch. This paper presents a two-step approach utilizing histo rical and advanced booking data.”

Key words

Windisch/Switzerland/Europe/Cyborgs/Emerging Technologies/Machine Learning/University of Applied Sciences and Art

引用本文复制引用

出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航