Robotics & Machine Learning Daily News2024,Issue(Jul.1) :60-60.

New Machine Learning Study Findings Have Been Reported by Investigators at Johns Hopkins University (Interpretable Machine Learning for Creditor Recovery Rates)

约翰霍普金斯大学的研究人员报告了新的机器学习研究结果(债权人回收率的可解释机器学习)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :60-60.

New Machine Learning Study Findings Have Been Reported by Investigators at Johns Hopkins University (Interpretable Machine Learning for Creditor Recovery Rates)

约翰霍普金斯大学的研究人员报告了新的机器学习研究结果(债权人回收率的可解释机器学习)

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摘要

一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-在一份新的报告中讨论了机器学习的研究结果。根据NewsRx编辑在Maryland巴尔的摩的新闻报道,研究表明,“机器学习方法在建模金融领域的复杂模式方面取得了巨大成功,比如资产定价和信用风险,这些模式使它们的表现优于统计模型。除了机器学习方法的预测准确性外,解释所学模型的能力在金融业也是至关重要的。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Baltimore, Mar yland, by NewsRx editors, research stated, “Machine learning methods have achiev ed great success in modeling complex patterns in finance such as asset pricing a nd credit risk that enable them to outperform statistical models. In addition to the predictive accuracy of machine learning methods, the ability to interpret w hat a model has learned is crucial in the finance industry.”

Key words

Baltimore/Maryland/United States/Nort h and Central America/Cyborgs/Emerging Technologies/Machine Learning/Johns H opkins University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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