Robotics & Machine Learning Daily News2024,Issue(MAY.1) :101-101.

Investigators from Oklahoma State University Target Machine Learning (Predicting and Mitigating Freshmen Student Attrition: a Local-explainable Machine Learning Framework)

Robotics & Machine Learning Daily News2024,Issue(MAY.1) :101-101.

Investigators from Oklahoma State University Target Machine Learning (Predicting and Mitigating Freshmen Student Attrition: a Local-explainable Machine Learning Framework)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting outof Stillwater, Oklahoma, by NewsRx e ditors, research stated, “With the emergence of novel methods forimproving mach ine learning (ML) transparency, traditional decision-support-focused information systemsseem to need an upgrade in their approach toward providing more actiona ble insights for practitioners.Particularly, given the complex decision-making process of humans, using insights obtained from group-levelinterpretation of ML models for designing individual interventions may lead to mixed results.”

Key words

Stillwater/Oklahoma/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/Oklaho ma State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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