首页|Reports Outline Machine Learning Study Findings from Pontificia University Javeriana (Improving Fairness In Machine Learningenabled Affirmative Actions: a Case Study In Outreach Activities In Healthcare)
Reports Outline Machine Learning Study Findings from Pontificia University Javeriana (Improving Fairness In Machine Learningenabled Affirmative Actions: a Case Study In Outreach Activities In Healthcare)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Bogota, Colombia, by NewsRx correspondents, research stated, “Over the last decade, due to the growing availability of data and computational resources, machine learning (ML) approaches h ave started to play a key role in the implementation of affirmative-action policies and programs. The underlying assumption is that resource allocation can be informed by the prediction of individual risks, improving the prioritization of t he potential beneficiaries, and increasing the performance of the system.”
BogotaColombiaSouth AmericaCyborgsEmerging TechnologiesMachine LearningPontificia University Javeriana
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